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CN105654071A - Fingerprint identification device and method - Google Patents

Fingerprint identification device and method Download PDF

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Publication number
CN105654071A
CN105654071A CN201610095316.2A CN201610095316A CN105654071A CN 105654071 A CN105654071 A CN 105654071A CN 201610095316 A CN201610095316 A CN 201610095316A CN 105654071 A CN105654071 A CN 105654071A
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CN
China
Prior art keywords
fingerprint
newly
increased
characteristic
fingerprint characteristic
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201610095316.2A
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Chinese (zh)
Inventor
杨显钧
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nubia Technology Co Ltd
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Nubia Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nubia Technology Co Ltd filed Critical Nubia Technology Co Ltd
Priority to CN201610095316.2A priority Critical patent/CN105654071A/en
Publication of CN105654071A publication Critical patent/CN105654071A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1365Matching; Classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1347Preprocessing; Feature extraction
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1347Preprocessing; Feature extraction
    • G06V40/1359Extracting features related to ridge properties; Determining the fingerprint type, e.g. whorl or loop

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  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Collating Specific Patterns (AREA)

Abstract

The invention discloses a fingerprint identification device. The device comprises an identification module, a new module and an adding module, wherein the identification module is used for collecting fingerprint and performing fingerprint identification according to a pre-configured fingerprint database; the new module is used for obtaining the new fingerprint features of the fingerprint according to the fingerprint database if the fingerprint passes the fingerprint identification; and the adding module is used for adding the new fingerprint characteristics into the fingerprint database to update the fingerprint database. The invention also discloses a fingerprint identification method. In the invention, the new fingerprint characteristics of a user are collected in the fingerprint identification process and added into the fingerprint database, the learning of the using habits of the user is realized, the fingerprint identification efficiency is improved, and the user experience is enhanced.

Description

Fingerprint identification device and method
Technical field
The present invention relates to fingerprint identification technology field, particularly relate to a kind of fingerprint identification device and method.
Background technology
Due to uniqueness and the unchangeable property of fingerprint, being widely applied in field of biological recognition, user can pass through fingerprint recognition, carries out security protection, for instance Fingerprint Lock, work attendance, mobile terminal unblock etc. Comparing conventional cipher, fingerprint recognition uses more convenient, it is not necessary to mass memory, at the different passwords set by each application scenarios, simplifies input process, and safety is higher.
Use fingerprint recognition, first have to carry out fingerprint collecting, typing fingerprint base. During the operations such as user is unlocked, it is necessary to again input fingerprint, mate with the fingerprint in fingerprint base. Owing to the quantity of information of finger print information is relatively big, user is when carrying out fingerprint collecting typing fingerprint base, it is impossible to the disposable typing completing whole finger print information. Therefore, user is carrying out unlocked by fingerprint or checking constantly, sufficiently complete due to finger print information typing, causes that the fingerprint recognition rate of user is not high, and user is likely to need repeatedly to repeatedly input finger print information and is unlocked or verifies, makes troubles to user.
Summary of the invention
Present invention is primarily targeted at a kind of fingerprint identification device of offer and method, it is intended to solve the low success rate of technical problem of fingerprint recognition.
For achieving the above object, the present invention provides a kind of fingerprint identification device, and described fingerprint identification device includes:
Identification module, is used for gathering fingerprint, carries out fingerprint recognition according to the fingerprint base being pre-configured with;
Newly-increased module, if for described fingerprint by fingerprint recognition, then obtaining the newly-increased fingerprint characteristic of described fingerprint according to described fingerprint base;
Add module, for adding described newly-increased fingerprint characteristic to described fingerprint base, update described fingerprint base.
In one embodiment, described newly-increased module includes:
Effective unit, if for described fingerprint by fingerprint recognition, then obtaining effective fingerprint characteristic of described fingerprint;
Newly-increased unit, for according to described effective fingerprint characteristic and described fingerprint base, obtains in described effective fingerprint characteristic the newly-increased fingerprint characteristic that fingerprint characteristic is described fingerprint not by described fingerprint base record.
In one embodiment, described fingerprint identification device also includes:
Search module, for according to the information table being pre-configured with, searching described newly-increased fingerprint characteristic;
Weighting block, if for finding described newly-increased fingerprint characteristic in described information table, then obtaining the weighted value of described newly-increased fingerprint characteristic;
Described interpolation module, if being additionally operable to the Weighted Threshold that described weighted value reaches to preset, then adds described newly-increased fingerprint characteristic to described fingerprint base, updates described fingerprint base.
In one embodiment, described weighting block includes:
Updating block, if for finding described newly-increased fingerprint characteristic in described information table, then updating described information table, obtains acquisition time and the cumulative number of described newly-increased fingerprint characteristic according to the information table after described renewal;
Weighted units, for according to described acquisition time, described cumulative number and default rule, obtaining the weighted value of described newly-increased fingerprint characteristic.
In one embodiment, described fingerprint identification device also includes:
Logging modle, if for not finding described newly-increased fingerprint characteristic in described information table, then recording described newly-increased fingerprint characteristic and the acquisition time of described newly-increased fingerprint characteristic, cumulative number in described information table.
Additionally, for achieving the above object, the present invention also provides for a kind of fingerprint identification method, and described fingerprint identification method comprises the following steps:
Gather fingerprint, carry out fingerprint recognition according to the fingerprint base being pre-configured with;
If described fingerprint passes through fingerprint recognition, then obtain the newly-increased fingerprint characteristic of described fingerprint according to described fingerprint base;
Add described newly-increased fingerprint characteristic to described fingerprint base, update described fingerprint base.
In one embodiment, if described fingerprint is by fingerprint recognition, then the step of the newly-increased fingerprint characteristic obtaining described fingerprint according to described fingerprint base includes:
If described fingerprint passes through fingerprint recognition, then obtain effective fingerprint characteristic of described fingerprint;
According to described effective fingerprint characteristic and described fingerprint base, obtain in described effective fingerprint characteristic the newly-increased fingerprint characteristic that fingerprint characteristic is described fingerprint not by described fingerprint base record.
In one embodiment, if described fingerprint is by fingerprint recognition, then, obtain the step of newly-increased fingerprint characteristic of described fingerprint according to described fingerprint base after, also include:
According to the information table being pre-configured with, search described newly-increased fingerprint characteristic;
If finding described newly-increased fingerprint characteristic in described information table, then obtain the weighted value of described newly-increased fingerprint characteristic;
Described adding described newly-increased fingerprint characteristic to described fingerprint base, the step updating described fingerprint base includes:
If described weighted value reaches the Weighted Threshold preset, then add described newly-increased fingerprint characteristic to described fingerprint base, update described fingerprint base.
In one embodiment, find described newly-increased fingerprint characteristic if described in described information table, then the step of the weighted value obtaining described newly-increased fingerprint characteristic includes:
If finding described newly-increased fingerprint characteristic in described information table, then updating described information table, obtaining acquisition time and the cumulative number of described newly-increased fingerprint characteristic according to the information table after described renewal;
According to described acquisition time, described cumulative number and default rule, obtain the weighted value of described newly-increased fingerprint characteristic.
In one embodiment, the information table that described basis is pre-configured with, after searching the step of described newly-increased fingerprint characteristic, also include:
If not finding described newly-increased fingerprint characteristic in described information table, then in described information table, record described newly-increased fingerprint characteristic and the acquisition time of described newly-increased fingerprint characteristic, cumulative number.
A kind of fingerprint identification device that the embodiment of the present invention proposes, this fingerprint identification device includes: identification module, is used for gathering fingerprint, carries out fingerprint recognition according to the fingerprint base being pre-configured with;Newly-increased module, if for described fingerprint by fingerprint recognition, then obtaining the newly-increased fingerprint characteristic of described fingerprint according to described fingerprint base; Add module, for adding described newly-increased fingerprint characteristic to described fingerprint base, update described fingerprint base. When not increasing fingerprinting step, when each fingerprint recognition success, the newly-increased fingerprint characteristic of user is gathered by the process of fingerprint recognition, add in fingerprint base, achieve the study of user's use habit, improve fingerprint recognition efficiency, solve the low success rate of problem of fingerprint recognition, improve Consumer's Experience.
Accompanying drawing explanation
Fig. 1 is the hardware architecture diagram of the optional mobile terminal realizing each embodiment of the present invention;
Fig. 2 is the wireless communication system schematic diagram of mobile terminal as shown in Figure 1;
Fig. 3 is the high-level schematic functional block diagram of fingerprint identification device first embodiment of the present invention;
Fig. 4 is the high-level schematic functional block diagram of fingerprint identification device the second embodiment of the present invention;
Fig. 5 is the high-level schematic functional block diagram of fingerprint identification device the 3rd embodiment of the present invention;
Fig. 6 is the high-level schematic functional block diagram of fingerprint identification device the 4th embodiment of the present invention;
Fig. 7 is the high-level schematic functional block diagram of fingerprint identification device the 5th embodiment of the present invention;
Fig. 8 is the schematic flow sheet of fingerprint identification method first embodiment of the present invention;
Fig. 9 is the schematic flow sheet of fingerprint identification method the second embodiment of the present invention;
Figure 10 is the schematic flow sheet of fingerprint identification method the 3rd embodiment of the present invention;
Figure 11 is the schematic flow sheet of fingerprint identification method the 4th embodiment of the present invention;
Figure 12 is the schematic flow sheet of fingerprint identification method the 5th embodiment of the present invention.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further with reference to accompanying drawing.
Detailed description of the invention
Should be appreciated that specific embodiment described herein is only in order to explain the present invention, is not intended to limit the present invention.
The primary solutions of the embodiment of the present invention is to propose a kind of fingerprint identification device, and this fingerprint identification device includes: identification module, is used for gathering fingerprint, carries out fingerprint recognition according to the fingerprint base being pre-configured with; Newly-increased module, if for described fingerprint by fingerprint recognition, then obtaining the newly-increased fingerprint characteristic of described fingerprint according to described fingerprint base; Add module, for adding described newly-increased fingerprint characteristic to described fingerprint base, update described fingerprint base.
Owing to prior art is when configuring fingerprint base, the collection of finger print information is difficult to all collect, and has partial fingerprints feature and is missed, and the finger print information in fingerprint base is imperfect, causes that user's recognition success rate when carrying out fingerprint recognition is low.
The present invention provides a solution, when not increasing fingerprinting step, when each fingerprint recognition success, the newly-increased fingerprint characteristic of user is gathered by the process of fingerprint recognition, add in fingerprint base, it is achieved that the study of user's use habit, improve fingerprint recognition efficiency, solve the low success rate of problem of fingerprint recognition, improve Consumer's Experience.
The mobile terminal realizing each embodiment of the present invention is described referring now to accompanying drawing. In follow-up description, use the suffix being used for representing such as " module ", " parts " or " unit " of element only for being conducive to the explanation of the present invention, itself do not have specific meaning. Therefore, " module " and " parts " can mixedly use.
Mobile terminal can be implemented in a variety of manners. Such as, the terminal described in the present invention can include the mobile terminal of such as mobile phone, smart phone, notebook computer, digit broadcasting receiver, PDA (personal digital assistant), PAD (panel computer), PMP (portable media player), guider etc. and the fixed terminal of such as numeral TV, desk computer etc.Hereinafter it is assumed that terminal is mobile terminal. However, it will be understood by those skilled in the art that, except being used in particular for the element of mobile purpose, structure according to the embodiment of the present invention can also apply to the terminal of fixed type.
Fig. 1 is the optional mobile terminal hardware configuration signal realizing each embodiment of the present invention.
Mobile terminal 100 can include wireless communication unit 110, user input unit 120, output unit 130, memorizer 140, controller 150 and power subsystem 160 etc. Fig. 1 illustrates the mobile terminal with various assembly, it should be understood that be not required for implementing all assemblies illustrated. Can alternatively implement more or less of assembly. Will be discussed in more detail below the element of mobile terminal.
Wireless communication unit 110 generally includes one or more assembly, and it allows the radio communication between mobile terminal 100 and wireless communication system or network. Such as, wireless communication unit can include at least one in mobile communication module 111, wireless Internet module 112.
Mobile communication module 111 sends radio signals at least one in base station (such as, access point, node B etc.), exterior terminal and server and/or receives from it radio signal. Such radio signal can include voice call signal, video calling signal or the various types of data sending according to text and/or Multimedia Message and/or receiving.
Wireless Internet module 112 supports the Wi-Fi (Wireless Internet Access) of mobile terminal. This module can internally or externally be couple to terminal. Wi-Fi (Wireless Internet Access) technology involved by this module can include WLAN (WLAN) (Wi-Fi), Wibro (WiMAX), Wimax (worldwide interoperability for microwave access), HSDPA (high-speed downlink packet access) etc.
User input unit 120 can generate key input data to control the various operations of mobile terminal according to the order of user's input. User input unit 120 allows user to input various types of information, and can include keyboard, metal dome, touch pad (such as, detection due to touched and cause resistance, pressure, electric capacity etc. the sensitive component of change), roller, rocking bar etc.
Output unit 130 can include display unit 131, dio Output Modules 132 etc.
Display unit 131 may be displayed on the information processed in mobile terminal 100. Such as, when mobile terminal 100 is in telephone calling model, display unit 131 can show the user interface (UI) relevant with call or other communicate (such as, text messaging, multimedia file download etc.) or graphic user interface (GUI). When being in video calling pattern or image capture mode when mobile terminal 100, display unit 131 can show the image of image and/or the reception caught, UI or GUI illustrating video or image and correlation function etc.
Dio Output Modules 132 can mobile terminal be in call signal receive under the isotype such as pattern, call mode, logging mode, speech recognition mode, broadcast reception mode time, that wireless communication unit 110 is received or storage in memorizer 140 voice data transducing audio signal and be output as sound. And, dio Output Modules 132 can provide the audio frequency output (such as, call signal receive sound, message sink sound etc.) relevant to the specific function of mobile terminal 100 execution.Dio Output Modules 132 can include speaker, buzzer etc.
Memorizer 140 can store the process performed by controller 150 and the software program controlling operation etc., or can temporarily store the data (such as, telephone directory, message, still image, video etc.) that oneself maybe will export through output. And, memorizer 140 can store the vibration about the various modes exported when touching and being applied to touch screen and the data of audio signal.
Memorizer 140 can include the storage medium of at least one type, described storage medium includes flash memory, hard disk, multimedia card, card-type memorizer (such as, SD or DX memorizer etc.), random access storage device (RAM), static random-access memory (SRAM), read only memory (ROM), Electrically Erasable Read Only Memory (EEPROM), programmable read only memory (PROM), magnetic storage, disk, CD etc. And, mobile terminal 100 can be connected the network storage device cooperation of the storage function performing memorizer 140 with by network.
Controller 150 generally controls the overall operation of mobile terminal. Such as, controller 150 performs the control relevant to voice call, data communication, video calling etc. and process. Controller 150 can perform pattern recognition process, so that the handwriting input performed on the touchscreen or picture drafting input are identified as character or image.
Power subsystem 160 receives external power or internal power under control of the controller 150 and provides the suitable electric power operated needed for each element and assembly.
Various embodiment described herein can to use such as computer software, hardware or its any combination of computer-readable medium to implement. Hardware is implemented, embodiment described herein can pass through to use application-specific IC (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, at least one that is designed to perform in the electronic unit of function described herein to implement, in some cases, such embodiment can be implemented in controller 150. Implementing for software, the embodiment of such as process or function can be implemented with allowing the independent software module performing at least one function or operation. Software code can be implemented by the software application (or program) write with any suitable programming language, and software code can be stored in memorizer 140 and be performed by controller 150.
So far, oneself is through describing mobile terminal according to its function. Below, for the sake of brevity, by the slide type mobile terminal in the various types of mobile terminals describing such as folded form, board-type, oscillating-type, slide type mobile terminal etc. exemplarily. Therefore, the present invention can be applied to any kind of mobile terminal, and is not limited to slide type mobile terminal.
Mobile terminal 100 as shown in Figure 1 may be constructed such that utilization operates via such as wired and wireless communication system and the satellite-based communication system of frame or packet transmission data.
The communication system being wherein operable to according to the mobile terminal of the present invention is described referring now to Fig. 2.
Such communication system can use different air interfaces and/or physical layer. Such as, the air interface used by communication system includes such as frequency division multiple access (FDMA), time division multiple acess (TDMA), CDMA (CDMA) and UMTS (UMTS) (especially, Long Term Evolution (LTE)), global system for mobile communications (GSM) etc.As non-limiting example, as explained below relates to cdma communication system, but such instruction is equally applicable to other type of system.
With reference to Fig. 2, cdma wireless communication system can include multiple mobile terminal 100, multiple base station (BS) 270, base station controller (BSC) 275 and mobile switching centre (MSC) 280. MSC280 is configured to form interface with Public Switched Telephony Network (PSTN) 290. MSC280 is also structured to and the BSC275 formation interface that can be couple to base station 270 via back haul link. Back haul link can construct according to any one in some interfaces that oneself knows, described interface includes such as E1/T1, ATM, IP, PPP, frame relay, HDSL, ADSL or xDSL. It will be appreciated that system as shown in Figure 2 can include multiple BSC275.
Each BS270 can service one or more subregion (or region), by each subregion of multidirectional antenna or the antenna covering pointing to specific direction radially away from BS270. Or, each subregion can be covered by two or more antennas for diversity reception. Each BS270 may be constructed such that support multiple frequencies distribution, and the distribution of each frequency has specific frequency spectrum (such as, 1.25MHz, 5MHz etc.).
Intersecting that subregion and frequency are distributed can be referred to as CDMA Channel. BS270 can also be referred to as base station transceiver subsystem (BTS) or other equivalent terms. In this case, term " base station " may be used for broadly representing single BSC275 and at least one BS270. Base station can also be referred to as " cellular station ". Or, each subregion of specific BS270 can be referred to as multiple cellular station.
As shown in Figure 2, broadcast singal is sent in system the mobile terminal 100 of operation by broadcsting transmitter (BT) 295. In fig. 2 it is shown that several global positioning systems (GPS) satellite 300. Satellite 300 helps to position at least one in multiple mobile terminals 100.
Any number of satellite in fig. 2, depicts multiple satellite 300, it should be understood that can be utilized to obtain useful location information. Substitute GPS tracking technique or outside GPS tracking technique, it is possible to use other technology of the position of mobile terminal can be followed the tracks of. It addition, at least one gps satellite 300 can optionally or additionally process satellite dmb transmission.
As a typical operation of wireless communication system, BS270 receives the reverse link signal from various mobile terminals 100. Mobile terminal 100 generally participates in call, information receiving and transmitting communicates with other type of. Each reverse link signal that certain base station 270 receives is processed in specific BS270. The data obtained are forwarded to relevant BSC275. BSC provides call resource distribution and the mobile management function of the coordination of soft switching process included between BS270. The data received also are routed to MSC280 by BSC275, and it provides the extra route service for forming interface with PSTN290. Similarly, PSTN290 and MSC280 forms interface, and MSC and BSC275 forms interface, and BSC275 correspondingly controls BS270 so that forward link signals to be sent to mobile terminal 100.
Based on above-mentioned mobile terminal hardware configuration and communication system, it is proposed to each embodiment of the inventive method.
With reference to Fig. 3, fingerprint identification device first embodiment of the present invention provides a kind of fingerprint identification device, and described fingerprint identification device includes:
Identification module 10, is used for gathering fingerprint, carries out fingerprint recognition according to the fingerprint base being pre-configured with.
Owing to user is when typing fingerprint first, it is difficult to whole for characteristic information substantial amounts of on fingerprint typing fingerprint bases, the present invention uses fingerprint recognition to be unlocked or in the process verified user, the characteristic information not being logged is extracted from identifying successful fingerprint, add fingerprint base, thus the characteristic information quantity increased in fingerprint base, improve the fingerprint recognition success rate of user.Present invention can apply to the fields such as gate inhibition, work attendance, mobile terminal, automobile, the present embodiment is illustrated with mobile terminal, and fingerprint identification device is arranged in mobile terminal.
Concrete, as a kind of recognition method, first, when user carries out fingerprint recognition, identification module 10 gathers the fingerprint of user's input, obtains fingerprint image. User can pass through user input unit 120 and input fingerprint image.
Then, the fingerprint image obtained is carried out pretreatment by identification module 10, for instance denoising and binary conversion treatment, it is simple to the correct extraction of fingerprint characteristic.
Then, identification module 10 takes the fingerprint information according to fingerprint image. Extract the finger print information obtained and include effective fingerprint characteristic and invalid information. When fingerprint collecting, it is subject to the impact of the sweat stain of user's finger, degree of drying, pressing weight etc., the quality problems of image can be caused, extract in the fingerprint characteristic obtained and can comprise invalid information. Therefore, extracting the finger print information obtained needs to abandon invalid information, and the invalid information abandoned includes pseudo-characteristic namely the fingerprint characteristic etc. of vacation.
After identification module 10 abandons invalid information, obtain effective fingerprint characteristic. Effective fingerprint characteristic that identification module 10 obtains includes: fingerprint form, crestal line end points, crestal line bifurcation, crestal line isolated point, the short bifurcated of crestal line, crestal line ring etc.
Then, identification module 10, according to the legal fingerprint characteristic of storage in the fingerprint base being pre-configured with, mates with effective fingerprint characteristic of current finger print. It should be noted that identification module 10 gathers the fingerprint of the user with lawful authority in advance, and extract the effective fingerprint characteristic in user fingerprints information as legal fingerprint characteristic, the legal fingerprint characteristic that storage obtains, configure fingerprint base.
The identification module 10 effective fingerprint characteristic according to current finger print, searches the legal fingerprint characteristic of coupling successively in fingerprint base. If find similarity with effective fingerprint characteristic in fingerprint base more than or equal to the legal fingerprint characteristic of predetermined threshold value, then judge this effective fingerprint characteristic and this legal fingerprint minutiae matching, this effective fingerprint minutiae matching success.
Identification module 10 is preset with matching threshold, and taking matching threshold is P, if in the fingerprint characteristic of current finger print, has more than or equal to P fingerprint characteristic and the fingerprint minutiae matching success in fingerprint base, then judges that current finger print passes through fingerprint recognition; If in the fingerprint characteristic of current finger print, with the successful fingerprint characteristic of the fingerprint minutiae matching in fingerprint base less than P, then judge current finger print recognition failures, do not pass through fingerprint recognition.
Identification module 10 is in the process carrying out fingerprint minutiae matching, record matching is effective fingerprint characteristic quantity successfully, when effective fingerprint characteristic quantity that the match is successful is more than or equal to P, can stop remaining the coupling of effective fingerprint characteristic, judge current finger print identification success, pass through fingerprint recognition; Can continue to carry out the coupling of effective fingerprint characteristic, after the coupling completing current finger print all effective fingerprint characteristics, further according to obtaining effective fingerprint characteristic quantity that the match is successful, carry out the judgement whether current finger print is identified by.
Thus, identification module 10 obtains the recognition result of current finger print.
Newly-increased module 20, if for described fingerprint by fingerprint recognition, then obtaining the newly-increased fingerprint characteristic of described fingerprint according to described fingerprint base.
After obtaining the recognition result to current finger print, if current finger print identification success, then newly-increased module 20 obtains the newly-increased fingerprint characteristic of current finger print according to fingerprint base.
Concrete, as a kind of embodiment, if current finger print identification is successful, newly-increased module 20 can control output unit 130 and export information, for instance screen ejection prompting interface lighted by control display unit 131, control dio Output Modules 132 exports voice message etc.
Newly-increased module 20, according to fingerprint base, obtains effective fingerprint characteristic that in whole effective fingerprint characteristics of current finger print, it fails to match, using the effective fingerprint characteristic that it fails to match as newly-increased fingerprint characteristic, is recorded. The newly-increased fingerprint characteristic of record can pass through wireless communication unit 110 and be stored in remote server, it is also possible to is stored in local storage 140, can arrange flexibly according to actual needs.
Add module 30, for adding described newly-increased fingerprint characteristic to described fingerprint base, update described fingerprint base.
After the newly-increased fingerprint characteristic obtaining current finger print, add module 30 and newly-increased fingerprint characteristic is added in fingerprint base, be also about to newly-increased fingerprint characteristic and store in fingerprint base.
Then, update fingerprint base, using newly-increased fingerprint characteristic as legal fingerprint characteristic. In fingerprint base, the legal fingerprint characteristic of storage includes newly-increased fingerprint characteristic and the legal fingerprint characteristic being pre-configured with.
Hereafter, when carrying out fingerprint recognition, newly-increased fingerprint characteristic, as legal fingerprint characteristic, participates in the coupling of effective fingerprint characteristic. The acquisition of newly-increased fingerprint characteristic, compensate for legal fingerprint characteristic typing incomplete shortcoming during configuration fingerprint base, supplement the legal fingerprint characteristic in fingerprint base, provide more legal fingerprint characteristic for the follow-up fingerprint recognition that carries out, improve the success rate of fingerprint recognition.
In the present embodiment, identification module 10 gathers the fingerprint of active user, carries out fingerprint recognition according to the fingerprint base being pre-configured with, if current finger print passes through fingerprint recognition, then newly-increased module 20 obtains the newly-increased fingerprint characteristic of current finger print according to fingerprint base, then, add module 30 and newly-increased fingerprint characteristic is added to fingerprint base, update fingerprint base. the present embodiment is after current finger print passes through fingerprint recognition, obtain current finger print and be not recorded in the newly-increased fingerprint characteristic in fingerprint base, ensure that the effectiveness of newly-increased fingerprint characteristic and legitimacy, then newly-increased fingerprint characteristic is added in fingerprint base as legal fingerprint characteristic, update fingerprint base, improve the quantity of legal fingerprint characteristic, supplement legal fingerprint characteristic not collected during configuration fingerprint base, the perfect finger print information of fingerprint base, finger print information in fingerprint base is more perfect, can be used in the legal fingerprint characteristic of fingerprint minutiae matching more many, the success rate of fingerprint recognition is also more high. the present embodiment achieves when user carries out fingerprint recognition, automatically fingerprint characteristic is learnt, in fingerprint base, the degree of perfection of finger print information also can improve with the increase of user's access times, thus stepping up fingerprint recognition success rate, solve that finger print information in fingerprint base is imperfect and technical problem that cause fingerprint recognition rate is low, improve Consumer's Experience.
Further, with reference to Fig. 4, fingerprint identification device the second embodiment of the present invention provides a kind of fingerprint identification device, and based on the embodiment shown in above-mentioned Fig. 3, described newly-increased module 20 includes:
Effective unit 21, if for described fingerprint by fingerprint recognition, then obtaining effective fingerprint characteristic of described fingerprint.
After obtaining the recognition result of current finger print, if current finger print is by fingerprint recognition, then obtain the newly-increased fingerprint characteristic of current finger print.
If the fingerprint characteristic that when carrying out fingerprint recognition according to current finger print, the match is successful, whole effectively fingerprint characteristics of current finger print are screened, the fingerprint characteristic removing the fingerprint characteristic that the match is successful and obtain is as newly-increased fingerprint characteristic, then owing to being likely to not carry out the coupling of all effectively fingerprint characteristics when carrying out fingerprint recognition, and cause the newly-increased fingerprint obtained being likely to include the fingerprint characteristic repeated with the legal fingerprint characteristic in fingerprint base.
For avoiding repeating the appearance of fingerprint characteristic, concrete, as a kind of embodiment, effective unit 21 extracts whole fingerprint characteristics of current finger print, abandons invalid information, obtains effective fingerprint characteristic.
The effective fingerprint characteristic obtained includes fingerprint form, crestal line end points, crestal line bifurcation, crestal line isolated point, the short bifurcated of crestal line, crestal line ring etc.
Newly-increased unit 22, for according to described effective fingerprint characteristic and described fingerprint base, obtains in described effective fingerprint characteristic the newly-increased fingerprint characteristic that fingerprint characteristic is described fingerprint not by described fingerprint base record.
After the effective fingerprint characteristic obtaining current finger print, newly-increased unit 22 according to fingerprint base, obtain in effective fingerprint characteristic not by the fingerprint characteristic of fingerprint base record as newly-increased fingerprint characteristic.
Concrete, as a kind of embodiment, newly-increased unit 22, according to the legal fingerprint characteristic of storage in the fingerprint base being pre-configured with, mates with effective fingerprint characteristic of current finger print.
The newly-increased unit 22 effective fingerprint characteristic according to current finger print, searches identical legal fingerprint characteristic successively in fingerprint base. If find similarity with effective fingerprint characteristic in fingerprint base more than or equal to the legal fingerprint characteristic of predetermined threshold value, then judge this effective fingerprint characteristic and this legal fingerprint minutiae matching, namely this effective fingerprint characteristic is by fingerprint base record.
Thus, newly-increased unit 22 obtains whole effectively fingerprint minutiae matching results of current finger print.
Newly-increased unit 22 obtains in whole effectively fingerprint characteristics of current finger print according to matching result, the fingerprint characteristic that the match is successful, and is recorded as newly-increased fingerprint characteristic by the fingerprint characteristic obtained.
As another embodiment, if when carrying out fingerprint recognition, according to fingerprint base, whole effectively fingerprint characteristics of current finger print are mated, then newly-increased unit 22 obtains, according to matching result, effective fingerprint characteristic that it fails to match, as newly-increased fingerprint characteristic.
In the present embodiment, if current finger print is by fingerprint recognition, then effectively unit 21 obtains effective fingerprint characteristic of current finger print; Then, newly-increased unit 22 according to the effective fingerprint characteristic obtained and fingerprint base, obtains in effective fingerprint characteristic not by the fingerprint characteristic of the fingerprint base record newly-increased fingerprint characteristic as current finger print. Whole effectively fingerprint characteristics of current finger print are mated by the present embodiment with the legal fingerprint characteristic of storage in fingerprint base, obtain and mate unsuccessful effective fingerprint characteristic, namely the fingerprint characteristic not recorded by current finger print storehouse, newly-increased fingerprint characteristic as current finger print, the fingerprint characteristic that it is currently Unrecorded, legal that the newly-increased fingerprint characteristic obtained is in fingerprint base, not only ensure that the effectiveness of newly-increased fingerprint characteristic and legitimacy, it also avoid newly-increased fingerprint characteristic and repeat with the fingerprint characteristic in fingerprint base.
Further, with reference to Fig. 5, fingerprint identification device the 3rd embodiment of the present invention provides a kind of fingerprint identification device, and based on the embodiment (the present embodiment for Fig. 3) shown in above-mentioned Fig. 3 or Fig. 4, described fingerprint identification device also includes:
Search module 40, for according to the information table being pre-configured with, searching described newly-increased fingerprint characteristic.
After obtaining newly-increased fingerprint characteristic, search module 40 according to the information table being pre-configured with, search current newly-increased fingerprint characteristic.
Concrete, as a kind of embodiment, search module 40 and be provided with the information table of the newly-increased fingerprint characteristic of record in advance, have recorded each newly-increased fingerprint characteristic obtained in fingerprint identification process and the acquisition time of each newly-increased fingerprint characteristic, cumulative number.
After obtaining current newly-increased fingerprint characteristic, search module 40 and search information table, it is judged that whether information table has and records current newly-increased fingerprint characteristic. Currently newly-increased fingerprint characteristic can be sequentially carried out by lookup module 40 with each newly-increased fingerprint characteristic of record in information table to be mated, if the match is successful, judging that in information table, record has current newly-increased fingerprint characteristic, success finds current newly-increased fingerprint characteristic in information table; If it fails to match, judge information table has not recorded current newly-increased fingerprint characteristic, in information table, do not finding current newly-increased fingerprint characteristic.
Weighting block 50, if for finding described newly-increased fingerprint characteristic in described information table, then obtaining the weighted value of described newly-increased fingerprint characteristic.
If successful search is to newly-increased fingerprint characteristic in information table, then weighting block 50 obtains the weighted value of current newly-increased fingerprint characteristic.
Concrete, as a kind of embodiment, the weighted value of newly-increased fingerprint characteristic is for judging whether newly-increased fingerprint characteristic reaches expection, whether meets the condition as legal fingerprint characteristic. The weighted value of newly-increased fingerprint characteristic can be in Preset Time, and when user carries out fingerprint recognition, newly-increased module 20 obtains the cumulative number of this newly-increased fingerprint characteristic; The weighted value of newly-increased fingerprint characteristic can also is that weighting block 50 obtains time of this newly-increased fingerprint characteristic according to newly-increased module 20 and number of times is weighted, the newly-increased fingerprint characteristic hot value obtained; Certainly, the weighted value of newly-increased fingerprint characteristic can also is that other numerical value, can arrange flexibly according to actual needs.
Weighting block 50, according to the every terms of information of the current newly-increased fingerprint characteristic of record in information table, obtains the weighted value of current newly-increased fingerprint characteristic.
Described interpolation module 30, if being additionally operable to the Weighted Threshold that described weighted value reaches to preset, then adds described newly-increased fingerprint characteristic to described fingerprint base, updates described fingerprint base.
After the weighted value obtaining newly-increased fingerprint characteristic, if weighted value is more than or equal to default Weighted Threshold, then add module 30 and judge currently to increase newly the Weighted Threshold that the weighted value of fingerprint characteristic reaches to preset, newly-increased fingerprint characteristic is added to fingerprint base, updates fingerprint base.
It should be noted that, the Weighted Threshold preset is and judges whether newly-increased fingerprint characteristic reaches expection, whether meets the condition as legal fingerprint characteristic, the height of Weighted Threshold can be set according to actual needs, adjust newly-increased fingerprint characteristic flexibly and transfer the complexity of legal fingerprint characteristic to.
In the present embodiment, after the newly-increased fingerprint characteristic obtaining fingerprint, search module 40 according to the information table being pre-configured with, search current newly-increased fingerprint characteristic; If finding newly-increased fingerprint characteristic in information table, then weighting block 50 obtains the weighted value of current newly-increased fingerprint characteristic; If the weighted value of newly-increased fingerprint characteristic reaches the Weighted Threshold preset, then add module 30 and newly-increased fingerprint characteristic is added to fingerprint base, update fingerprint base. The present embodiment weighted value according to newly-increased fingerprint characteristic, pre-set Weighted Threshold as judging whether newly-increased fingerprint characteristic meets the condition adding fingerprint base, if the weighted value of newly-increased fingerprint characteristic reaches to preset Weighted Threshold, then this newly-increased fingerprint characteristic is added fingerprint base, as legal fingerprint characteristic for fingerprint recognition.The present embodiment is by the judgement to newly-increased fingerprint weighted value, achieve the control that newly-increased fingerprint characteristic is added fingerprint base, thus newly-increased fingerprint characteristic higher for higher for temperature or accumulative acquisition number of times is added fingerprint base, avoiding cumulative number few or lower grade newly-increased fingerprint characteristic adds fingerprint base when causing fingerprint recognition, matching operation amount is big, data process slowly. The present embodiment is while promoting legal fingerprint characteristic quantity in fingerprint base, improving fingerprint recognition success rate, it is to avoid newly-increased legal fingerprint characteristic quantity is too much, it is ensured that the speed of fingerprint recognition, improves Consumer's Experience.
Further, with reference to Fig. 6, fingerprint identification device the 4th embodiment of the present invention provides a kind of fingerprint identification device, and based on the embodiment shown in above-mentioned Fig. 5, described weighting block 50 includes:
Updating block 51, if for finding described newly-increased fingerprint characteristic in described information table, then updating described information table, obtains acquisition time and the cumulative number of described newly-increased fingerprint characteristic according to the information table after described renewal.
If finding current newly-increased fingerprint characteristic in information table, then updating block 51 updates information table, obtains acquisition time and the cumulative number of current newly-increased fingerprint characteristic according to the information table after updating.
Concrete, as a kind of embodiment, updating block 51 updates information table, the current acquisition time of the current newly-increased fingerprint characteristic of record in information table, and updates the cumulative number of this newly-increased fingerprint characteristic in information table.
Then, updating block 51 is currently increased newly the cumulative number of fingerprint characteristic and each acquisition time according to the information table after updating.
Weighted units 52, for according to described acquisition time, described cumulative number and default rule, obtaining the weighted value of described newly-increased fingerprint characteristic.
Weighted units 52 is preset with the acquisition rule of newly-increased fingerprint characteristic weighted value, for being weighted the calculating of value according to the relevant information of newly-increased fingerprint characteristic. After the acquisition time obtaining newly-increased fingerprint characteristic and cumulative number, weighted units 52, according to acquisition time, cumulative number and default rule, obtains the weighted value of newly-increased fingerprint characteristic.
Concrete, as a kind of embodiment, default rule formula Q=K N represents, wherein, Q represents the weighted value of newly-increased fingerprint characteristic, and K represents that weight coefficient, N represent the cumulative number of newly-increased fingerprint characteristic. Weight coefficient can be in preset time range, collects the frequency of this newly-increased fingerprint characteristic, it is possible to calculating according to the acquisition time of this newly-increased fingerprint characteristic and obtain frequency values, the frequency acquisition value taking newly-increased fingerprint characteristic is F.
Owing to frequency value F characterizes the temperature of this newly-increased fingerprint characteristic, and hence it is also possible to the weighted value obtained according to the size correction of frequency value F, reduce the weight of the relatively low newly-increased fingerprint characteristic of frequency values, for instance:
If the frequency value F of this newly-increased fingerprint characteristic is more than or equal to default frequency values, then using the frequency value F that obtains as weight coefficient, and the cumulative number according to newly-increased fingerprint characteristic, calculate the weighted value obtaining newly-increased fingerprint characteristic;
If the frequency value F of this newly-increased fingerprint characteristic is less than default frequency values, then using the frequency value F that obtains as weight coefficient, and the cumulative number according to newly-increased fingerprint characteristic, calculate and obtain weighted value; Then, according to the size of frequency value F and the loss of weight rule preset, reduce the weighted value obtained accordingly, using the weighted value after reduction as the weighted value of this newly-increased fingerprint characteristic.
Thus, lower grade newly-increased fingerprint characteristic weighted value is reduced, it is to avoid the newly-increased fingerprint characteristic of too much low temperature transfers legal fingerprint characteristic to, coupling burden when causing mobile terminal to carry out fingerprint recognition.
Certainly, the rule preset can also is that other rules, can arrange flexibly according to actual needs.
Thus, weighted units 52 obtains the weighted value of newly-increased fingerprint characteristic.
After the weighted value obtaining newly-increased fingerprint characteristic, add module 30 and judge currently to increase newly the Weighted Threshold whether weighted value of fingerprint characteristic reaches to preset.
If the weighted value of newly-increased fingerprint characteristic is more than or equal to default Weighted Threshold, then judge that weighted value reaches the Weighted Threshold preset, this newly-increased fingerprint characteristic adding to fingerprint base, updates fingerprint base, this newly-increased fingerprint characteristic is used for fingerprint recognition hereafter as legal fingerprint characteristic.
If the weighted value of newly-increased fingerprint characteristic is less than default Weighted Threshold, then judges that weighted value is not up to default Weighted Threshold, then preserve cumulative number and the acquisition time of this newly-increased fingerprint characteristic, calculate for follow-up weighted value.
In the present embodiment, if finding newly-increased fingerprint characteristic in information table, then updating block 51 updates information table, obtains acquisition time and the cumulative number of newly-increased fingerprint characteristic according to the information table after updating; Then, weighted units 52, according to acquisition time, cumulative number and default rule, obtains the weighted value of this newly-increased fingerprint characteristic. The present embodiment is according to the newly-increased acquisition time of fingerprint characteristic, cumulative number and default rule, obtain weighted value, the weighted value obtained can characterize the weight of newly-increased fingerprint characteristic, newly-increased fingerprint characteristic is added to fingerprint base, it is achieved that the weight of newly-increased fingerprint characteristic is managed when weighted value reaches the Weighted Threshold preset. The present embodiment is weighted by the calculating of value, fingerprint base is added by using the newly-increased fingerprint characteristic that frequency is high, temperature is high, it is effectively improved the success rate of user fingerprints identification, simultaneously, avoid too much low temperature or use the fingerprint characteristic that frequency is low to add fingerprint base, cause the burden of fingerprint recognition, it is ensured that the speed of fingerprint recognition.
Further, with reference to Fig. 7, fingerprint identification device the 5th embodiment of the present invention provides a kind of fingerprint identification device, and based on the embodiment shown in above-mentioned Fig. 6, described fingerprint identification device also includes:
Logging modle 60, if for not finding described newly-increased fingerprint characteristic in described information table, then recording described newly-increased fingerprint characteristic and the acquisition time of described newly-increased fingerprint characteristic, cumulative number in described information table.
If not finding current newly-increased fingerprint characteristic in information table, then logging modle 60 records current newly-increased fingerprint characteristic in information table, and records acquisition time and the cumulative number of current newly-increased fingerprint characteristic.
It should be noted that currently increase the acquisition time of fingerprint characteristic namely current fingerprint recognition time newly, cumulative number is the cumulative number of acquisition for mobile terminal currently newly-increased fingerprint characteristic.
Hereafter, whenever acquisition for mobile terminal currently newly-increased fingerprint characteristic, then logging modle 60 complementary recording each acquisition time that currently newly-increased fingerprint characteristic is corresponding in log, and increase cumulative number.
In the present embodiment, if not finding current newly-increased fingerprint characteristic in information table, then logging modle 60 records current newly-increased fingerprint characteristic and the current newly-increased acquisition time of fingerprint characteristic, cumulative number in information table. In the present embodiment, when mobile terminal obtains newly-increased fingerprint characteristic first, information table records the newly-increased fingerprint characteristic obtained and relevant every terms of information, be used for again obtaining the calculating of weighted value during this fingerprint characteristic, it is achieved that the study of newly-increased fingerprint characteristic.
With reference to Fig. 8, fingerprint identification method first embodiment of the present invention provides a kind of fingerprint identification method, and described fingerprint identification method includes:
Step S10, collection fingerprint, carry out fingerprint recognition according to the fingerprint base being pre-configured with.
Owing to user is when typing fingerprint first, it is difficult to whole for characteristic information substantial amounts of on fingerprint typing fingerprint bases, the present invention uses fingerprint recognition to be unlocked or in the process verified user, the characteristic information not being logged is extracted from identifying successful fingerprint, add fingerprint base, thus the characteristic information quantity increased in fingerprint base, improve the fingerprint recognition success rate of user. Present invention can apply to the fields such as gate inhibition, work attendance, mobile terminal, automobile, the present embodiment is illustrated with mobile terminal.
Concrete, as a kind of recognition method, first, when user carries out fingerprint recognition, mobile terminal gathers the fingerprint of user's input, obtains fingerprint image. User can pass through user input unit 120 and input fingerprint image.
Then, the fingerprint image obtained is carried out pretreatment by mobile terminal, for instance denoising and binary conversion treatment, it is simple to the correct extraction of fingerprint characteristic.
Then, mobile terminal takes the fingerprint information according to fingerprint image. Extract the finger print information obtained and include effective fingerprint characteristic and invalid information. When fingerprint collecting, it is subject to the impact of the sweat stain of user's finger, degree of drying, pressing weight etc., the quality problems of image can be caused, extract in the fingerprint characteristic obtained and can comprise invalid information. Therefore, extracting the finger print information obtained needs to abandon invalid information, and the invalid information abandoned includes pseudo-characteristic namely the fingerprint characteristic etc. of vacation.
After mobile terminal abandons invalid information, obtain effective fingerprint characteristic. Effective fingerprint characteristic that mobile terminal obtains includes: fingerprint form, crestal line end points, crestal line bifurcation, crestal line isolated point, the short bifurcated of crestal line, crestal line ring etc.
Then, mobile terminal, according to the legal fingerprint characteristic of storage in the fingerprint base being pre-configured with, mates with effective fingerprint characteristic of current finger print. It should be noted that mobile terminal gathers the fingerprint of the user with lawful authority in advance, and extract the effective fingerprint characteristic in user fingerprints information as legal fingerprint characteristic, the legal fingerprint characteristic that storage obtains, configure fingerprint base.
The mobile terminal effective fingerprint characteristic according to current finger print, searches the legal fingerprint characteristic of coupling successively in fingerprint base. If find similarity with effective fingerprint characteristic in fingerprint base more than or equal to the legal fingerprint characteristic of predetermined threshold value, then judge this effective fingerprint characteristic and this legal fingerprint minutiae matching, this effective fingerprint minutiae matching success.
Mobile terminal is preset with matching threshold, and taking matching threshold is P, if in the fingerprint characteristic of current finger print, has more than or equal to P fingerprint characteristic and the fingerprint minutiae matching success in fingerprint base, then judges that current finger print passes through fingerprint recognition; If in the fingerprint characteristic of current finger print, with the successful fingerprint characteristic of the fingerprint minutiae matching in fingerprint base less than P, then judge current finger print recognition failures, do not pass through fingerprint recognition.
Mobile terminal is in the process carrying out fingerprint minutiae matching, record matching is effective fingerprint characteristic quantity successfully, when effective fingerprint characteristic quantity that the match is successful is more than or equal to P, can stop remaining the coupling of effective fingerprint characteristic, judge current finger print identification success, pass through fingerprint recognition; Can continue to carry out the coupling of effective fingerprint characteristic, after the coupling completing current finger print all effective fingerprint characteristics, further according to obtaining effective fingerprint characteristic quantity that the match is successful, carry out the judgement whether current finger print is identified by.
Thus, the recognition result of current finger print is obtained.
If the described fingerprint of step S20 passes through fingerprint recognition, then obtain the newly-increased fingerprint characteristic of described fingerprint according to described fingerprint base.
After obtaining the recognition result to current finger print, if current finger print identification success, then obtain the newly-increased fingerprint characteristic of current finger print according to fingerprint base.
Concrete, as one embodiment, if current finger print identification success, mobile terminal can control output unit 130 and export information, for instance screen ejection prompting interface lighted by control display unit 131, control dio Output Modules 132 exports voice message etc.
Mobile terminal according to fingerprint base, obtains effective fingerprint characteristic that in whole effective fingerprint characteristics of current finger print, it fails to match, using the effective fingerprint characteristic that it fails to match as newly-increased fingerprint characteristic, is recorded. The newly-increased fingerprint characteristic of record can pass through wireless communication unit 110 and be stored in remote server, it is also possible to is stored in local storage 140, can arrange flexibly according to actual needs.
Step S30, add described newly-increased fingerprint characteristic to described fingerprint base, update described fingerprint base.
After the newly-increased fingerprint characteristic obtaining current finger print, newly-increased fingerprint characteristic is added in fingerprint base by mobile terminal, is also about to newly-increased fingerprint characteristic and stores in fingerprint base.
Then, update fingerprint base, using newly-increased fingerprint characteristic as legal fingerprint characteristic. In fingerprint base, the legal fingerprint characteristic of storage includes newly-increased fingerprint characteristic and the legal fingerprint characteristic being pre-configured with.
Hereafter, when carrying out fingerprint recognition, newly-increased fingerprint characteristic, as legal fingerprint characteristic, participates in the coupling of effective fingerprint characteristic. The acquisition of newly-increased fingerprint characteristic, compensate for legal fingerprint characteristic typing incomplete shortcoming during configuration fingerprint base, supplement the legal fingerprint characteristic in fingerprint base, provide more legal fingerprint characteristic for the follow-up fingerprint recognition that carries out, improve the success rate of fingerprint recognition.
In the present embodiment, mobile terminal gathers the fingerprint of active user, carries out fingerprint recognition according to the fingerprint base being pre-configured with, if current finger print passes through fingerprint recognition, then obtain the newly-increased fingerprint characteristic of current finger print according to fingerprint base, then, newly-increased fingerprint characteristic is added fingerprint base to, update fingerprint base. the present embodiment is after current finger print passes through fingerprint recognition, obtain current finger print and be not recorded in the newly-increased fingerprint characteristic in fingerprint base, ensure that the effectiveness of newly-increased fingerprint characteristic and legitimacy, then newly-increased fingerprint characteristic is added in fingerprint base as legal fingerprint characteristic, update fingerprint base, improve the quantity of legal fingerprint characteristic, supplement legal fingerprint characteristic not collected during configuration fingerprint base, the perfect finger print information of fingerprint base, finger print information in fingerprint base is more perfect, can be used in the legal fingerprint characteristic of fingerprint minutiae matching more many, the success rate of fingerprint recognition is also more high. the present embodiment achieves when user carries out fingerprint recognition, automatically fingerprint characteristic is learnt, in fingerprint base, the degree of perfection of finger print information also can improve with the increase of user's access times, thus stepping up fingerprint recognition success rate, solve that finger print information in fingerprint base is imperfect and technical problem that cause fingerprint recognition rate is low, improve Consumer's Experience.
Further, with reference to Fig. 9, fingerprint identification method the second embodiment of the present invention provides a kind of fingerprint identification method, and based on the embodiment shown in above-mentioned Fig. 8, described step S20 includes:
If the described fingerprint of step S21 passes through fingerprint recognition, then obtain effective fingerprint characteristic of described fingerprint.
After obtaining the recognition result of current finger print, if current finger print is by fingerprint recognition, then obtain the newly-increased fingerprint characteristic of current finger print.
If the fingerprint characteristic that when carrying out fingerprint recognition according to current finger print, the match is successful, whole effectively fingerprint characteristics of current finger print are screened, the fingerprint characteristic removing the fingerprint characteristic that the match is successful and obtain is as newly-increased fingerprint characteristic, then owing to being likely to not carry out the coupling of all effectively fingerprint characteristics when carrying out fingerprint recognition, and cause the newly-increased fingerprint obtained being likely to include the fingerprint characteristic repeated with the legal fingerprint characteristic in fingerprint base.
For avoiding repeating the appearance of fingerprint characteristic, concrete, as a kind of embodiment, mobile terminal extracts whole fingerprint characteristics of current finger print, abandons invalid information, obtains effective fingerprint characteristic.
The effective fingerprint characteristic obtained includes fingerprint form, crestal line end points, crestal line bifurcation, crestal line isolated point, the short bifurcated of crestal line, crestal line ring etc.
Step S22, according to described effective fingerprint characteristic and described fingerprint base, obtain in described effective fingerprint characteristic the newly-increased fingerprint characteristic that fingerprint characteristic is described fingerprint not by described fingerprint base record.
After the effective fingerprint characteristic obtaining current finger print, mobile terminal according to fingerprint base, obtain in effective fingerprint characteristic not by the fingerprint characteristic of fingerprint base record as newly-increased fingerprint characteristic.
Concrete, as a kind of embodiment, mobile terminal, according to the legal fingerprint characteristic of storage in the fingerprint base being pre-configured with, mates with effective fingerprint characteristic of current finger print.
The mobile terminal effective fingerprint characteristic according to current finger print, searches identical legal fingerprint characteristic successively in fingerprint base. If find similarity with effective fingerprint characteristic in fingerprint base more than or equal to the legal fingerprint characteristic of predetermined threshold value, then judge this effective fingerprint characteristic and this legal fingerprint minutiae matching, namely this effective fingerprint characteristic is by fingerprint base record.
Thus, whole effectively fingerprint minutiae matching results of current finger print are obtained.
Mobile terminal obtains in whole effectively fingerprint characteristics of current finger print according to matching result, the fingerprint characteristic that the match is successful, and is recorded as newly-increased fingerprint characteristic by the fingerprint characteristic obtained.
As another embodiment, if when carrying out fingerprint recognition, according to fingerprint base, whole effectively fingerprint characteristics of current finger print are mated, then obtain, according to matching result, effective fingerprint characteristic that it fails to match, as newly-increased fingerprint characteristic.
In the present embodiment, if current finger print is by fingerprint recognition, then effective fingerprint characteristic of current finger print is obtained; Then, according to the effective fingerprint characteristic obtained and fingerprint base, obtain in effective fingerprint characteristic not by the fingerprint characteristic of the fingerprint base record newly-increased fingerprint characteristic as current finger print. Whole effectively fingerprint characteristics of current finger print are mated by the present embodiment with the legal fingerprint characteristic of storage in fingerprint base, obtain and mate unsuccessful effective fingerprint characteristic, namely the fingerprint characteristic not recorded by current finger print storehouse, newly-increased fingerprint characteristic as current finger print, the fingerprint characteristic that it is currently Unrecorded, legal that the newly-increased fingerprint characteristic obtained is in fingerprint base, not only ensure that the effectiveness of newly-increased fingerprint characteristic and legitimacy, it also avoid newly-increased fingerprint characteristic and repeat with the fingerprint characteristic in fingerprint base.
Further, with reference to Figure 10, fingerprint identification method the 3rd embodiment of the present invention provides a kind of fingerprint identification method, based on the embodiment (the present embodiment for Fig. 8) shown in above-mentioned Fig. 8 or Fig. 9, after described step S20, also includes:
The information table that step S40, basis are pre-configured with, searches described newly-increased fingerprint characteristic.
After obtaining newly-increased fingerprint characteristic, mobile terminal, according to the information table being pre-configured with, searches current newly-increased fingerprint characteristic.
Concrete, as a kind of embodiment, mobile terminal is provided with the information table of the newly-increased fingerprint characteristic of record in advance, have recorded each newly-increased fingerprint characteristic that mobile terminal obtains in fingerprint identification process and the acquisition time of each newly-increased fingerprint characteristic, cumulative number.
Mobile terminal, after obtaining current newly-increased fingerprint characteristic, searches information table, it is judged that whether have in information table and record current newly-increased fingerprint characteristic. Currently newly-increased fingerprint characteristic can be sequentially carried out with each newly-increased fingerprint characteristic of record in information table and mate by mobile terminal, if the match is successful, judges that in information table, record has current newly-increased fingerprint characteristic, and success finds current newly-increased fingerprint characteristic in information table; If it fails to match, judge information table has not recorded current newly-increased fingerprint characteristic, in information table, do not finding current newly-increased fingerprint characteristic.
If step S50 finds described newly-increased fingerprint characteristic in described information table, then obtain the weighted value of described newly-increased fingerprint characteristic.
If successful search is to newly-increased fingerprint characteristic in information table, the then weighted value of acquisition for mobile terminal currently newly-increased fingerprint characteristic, if the weighted value currently increasing fingerprint characteristic newly reaches the Weighted Threshold preset, then add currently newly-increased fingerprint characteristic to fingerprint base, update fingerprint base.
Concrete, as a kind of embodiment, the weighted value of newly-increased fingerprint characteristic is for judging whether newly-increased fingerprint characteristic reaches expection, whether meets the condition as legal fingerprint characteristic. The weighted value of newly-increased fingerprint characteristic can be in Preset Time, when user carries out fingerprint recognition, and the cumulative number of this newly-increased fingerprint characteristic of acquisition for mobile terminal; The weighted value of newly-increased fingerprint characteristic can also is that the time according to this newly-increased fingerprint characteristic of acquisition for mobile terminal and number of times are weighted, the newly-increased fingerprint characteristic hot value obtained; Certainly, the weighted value of newly-increased fingerprint characteristic can also is that other numerical value, can arrange flexibly according to actual needs.
Mobile terminal, according to the every terms of information of the current newly-increased fingerprint characteristic of record in information table, obtains the weighted value of current newly-increased fingerprint characteristic.
Described step S30 includes:
If the described weighted value of step S31 reaches the Weighted Threshold preset, then add described newly-increased fingerprint characteristic to described fingerprint base, update described fingerprint base.
After the weighted value obtaining newly-increased fingerprint characteristic, if weighted value is more than or equal to default Weighted Threshold, then judges that the weighted value of current newly-increased fingerprint characteristic reaches the Weighted Threshold preset, newly-increased fingerprint characteristic is added to fingerprint base, updates fingerprint base.
It should be noted that, the Weighted Threshold preset is and judges whether newly-increased fingerprint characteristic reaches expection, whether meets the condition as legal fingerprint characteristic, the height of Weighted Threshold can be set according to actual needs, adjust newly-increased fingerprint characteristic flexibly and transfer the complexity of legal fingerprint characteristic to.
In the present embodiment, after the newly-increased fingerprint characteristic obtaining fingerprint, according to the information table being pre-configured with, search current newly-increased fingerprint characteristic; If finding newly-increased fingerprint characteristic in information table, then obtain the weighted value of current newly-increased fingerprint characteristic, if the weighted value of newly-increased fingerprint characteristic reaches the Weighted Threshold preset to, then newly-increased fingerprint characteristic is added fingerprint base, update fingerprint base. The present embodiment weighted value according to newly-increased fingerprint characteristic, pre-set Weighted Threshold as judging whether newly-increased fingerprint characteristic meets the condition adding fingerprint base, if the weighted value of newly-increased fingerprint characteristic reaches to preset Weighted Threshold, then this newly-increased fingerprint characteristic is added fingerprint base, as legal fingerprint characteristic for fingerprint recognition.The present embodiment is by the judgement to newly-increased fingerprint weighted value, achieve the control that newly-increased fingerprint characteristic is added fingerprint base, thus newly-increased fingerprint characteristic higher for higher for temperature or accumulative acquisition number of times is added fingerprint base, avoiding cumulative number few or lower grade newly-increased fingerprint characteristic adds fingerprint base when causing fingerprint recognition, matching operation amount is big, data process slowly. The present embodiment is while promoting legal fingerprint characteristic quantity in fingerprint base, improving fingerprint recognition success rate, it is to avoid newly-increased legal fingerprint characteristic quantity is too much, it is ensured that the speed of fingerprint recognition, improves Consumer's Experience.
Further, with reference to Figure 11, fingerprint identification method the 4th embodiment of the present invention provides a kind of fingerprint identification method, and based on the embodiment shown in above-mentioned Figure 10, described step S50 includes:
If step S51 finds described newly-increased fingerprint characteristic in described information table, then update described information table, obtain acquisition time and the cumulative number of described newly-increased fingerprint characteristic according to the information table after described renewal.
If finding current newly-increased fingerprint characteristic in information table, then mobile terminal to update information table, acquisition time and the cumulative number of current newly-increased fingerprint characteristic is obtained according to the information table after updating.
Concrete, as a kind of embodiment, mobile terminal to update information table, the current acquisition time of the current newly-increased fingerprint characteristic of record in information table, and update the cumulative number of this newly-increased fingerprint characteristic in information table.
Then, mobile terminal is currently increased newly the cumulative number of fingerprint characteristic and each acquisition time according to the information table after updating.
Step S52, according to described acquisition time, described cumulative number and default rule, obtain the weighted value of described newly-increased fingerprint characteristic.
Mobile terminal is preset with the acquisition rule of newly-increased fingerprint characteristic weighted value, for being weighted the calculating of value according to the relevant information of newly-increased fingerprint characteristic. After the acquisition time obtaining newly-increased fingerprint characteristic and cumulative number, mobile terminal, according to acquisition time, cumulative number and default rule, obtains the weighted value of newly-increased fingerprint characteristic.
Concrete, as a kind of embodiment, default rule formula Q=K N represents, wherein, Q represents the weighted value of newly-increased fingerprint characteristic, and K represents that weight coefficient, N represent the cumulative number of newly-increased fingerprint characteristic. Weight coefficient can be in preset time range, collects the frequency of this newly-increased fingerprint characteristic, it is possible to calculating according to the acquisition time of this newly-increased fingerprint characteristic and obtain frequency values, the frequency acquisition value taking newly-increased fingerprint characteristic is F.
Owing to frequency value F characterizes the temperature of this newly-increased fingerprint characteristic, and hence it is also possible to the weighted value obtained according to the size correction of frequency value F, reduce the weight of the relatively low newly-increased fingerprint characteristic of frequency values, for instance:
If the frequency value F of this newly-increased fingerprint characteristic is more than or equal to default frequency values, then using the frequency value F that obtains as weight coefficient, and the cumulative number according to newly-increased fingerprint characteristic, calculate the weighted value obtaining newly-increased fingerprint characteristic;
If the frequency value F of this newly-increased fingerprint characteristic is less than default frequency values, then using the frequency value F that obtains as weight coefficient, and the cumulative number according to newly-increased fingerprint characteristic, calculate and obtain weighted value; Then, according to the size of frequency value F and the loss of weight rule preset, reduce the weighted value obtained accordingly, using the weighted value after reduction as the weighted value of this newly-increased fingerprint characteristic.
Thus, lower grade newly-increased fingerprint characteristic weighted value is reduced, it is to avoid the newly-increased fingerprint characteristic of too much low temperature transfers legal fingerprint characteristic to, coupling burden when causing mobile terminal to carry out fingerprint recognition.
Certainly, the rule preset can also is that other rules, can arrange flexibly according to actual needs.
Thus, the weighted value of newly-increased fingerprint characteristic is obtained.
After the weighted value obtaining newly-increased fingerprint characteristic, mobile terminal judges whether the weighted value of current newly-increased fingerprint characteristic reaches the Weighted Threshold preset.
If the weighted value of newly-increased fingerprint characteristic is more than or equal to default Weighted Threshold, then judge that weighted value reaches the Weighted Threshold preset, this newly-increased fingerprint characteristic adding to fingerprint base, updates fingerprint base, this newly-increased fingerprint characteristic is used for fingerprint recognition hereafter as legal fingerprint characteristic.
If the weighted value of newly-increased fingerprint characteristic is less than default Weighted Threshold, then judge that weighted value is not up to default Weighted Threshold, then mobile terminal preserves cumulative number and the acquisition time of this newly-increased fingerprint characteristic, calculates for follow-up weighted value.
In the present embodiment, if finding newly-increased fingerprint characteristic in information table, then updating information table, obtaining acquisition time and the cumulative number of newly-increased fingerprint characteristic according to the information table after updating; Then, according to acquisition time, cumulative number and default rule, the weighted value of this newly-increased fingerprint characteristic is obtained. The present embodiment is according to the newly-increased acquisition time of fingerprint characteristic, cumulative number and default rule, obtain weighted value, the weighted value obtained can characterize the weight of newly-increased fingerprint characteristic, newly-increased fingerprint characteristic is added to fingerprint base, it is achieved that the weight of newly-increased fingerprint characteristic is managed when weighted value reaches the Weighted Threshold preset. The present embodiment is weighted by the calculating of value, fingerprint base is added by using the newly-increased fingerprint characteristic that frequency is high, temperature is high, it is effectively improved the success rate of user fingerprints identification, simultaneously, avoid too much low temperature or use the fingerprint characteristic that frequency is low to add fingerprint base, cause the burden of fingerprint recognition, it is ensured that the speed of fingerprint recognition.
Further, with reference to Figure 12, fingerprint identification method the 5th embodiment of the present invention provides a kind of fingerprint identification method, based on the embodiment shown in above-mentioned Figure 11, after described step S40, also includes:
If step S60 does not find described newly-increased fingerprint characteristic in described information table, then in described information table, record described newly-increased fingerprint characteristic and the acquisition time of described newly-increased fingerprint characteristic, cumulative number.
If not finding current newly-increased fingerprint characteristic in information table, then mobile terminal records current newly-increased fingerprint characteristic in information table, and records acquisition time and the cumulative number of current newly-increased fingerprint characteristic.
It should be noted that currently increase the acquisition time of fingerprint characteristic namely current fingerprint recognition time newly, cumulative number is the cumulative number of acquisition for mobile terminal currently newly-increased fingerprint characteristic.
Hereafter, whenever acquisition for mobile terminal currently newly-increased fingerprint characteristic, then mobile terminal complementary recording each acquisition time that currently newly-increased fingerprint characteristic is corresponding in log, and increase cumulative number.
In the present embodiment, if not finding current newly-increased fingerprint characteristic in information table, then the current newly-increased fingerprint characteristic of record and the current newly-increased acquisition time of fingerprint characteristic, cumulative number in information table. In the present embodiment, when mobile terminal obtains newly-increased fingerprint characteristic first, information table records the newly-increased fingerprint characteristic obtained and relevant every terms of information, be used for again obtaining the calculating of weighted value during this fingerprint characteristic, it is achieved that the study of newly-increased fingerprint characteristic.
It should be noted that, in this article, term " includes ", " comprising " or its any other variant are intended to comprising of nonexcludability, so that include the process of a series of key element, method, article or device not only include those key elements, but also include other key elements being not expressly set out, or also include the key element intrinsic for this process, method, article or device.When there is no more restriction, statement " including ... " key element limited, it is not excluded that there is also other identical element in including the process of this key element, method, article or device.
The invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art is it can be understood that can add the mode of required general hardware platform by software to above-described embodiment method and realize, hardware can certainly be passed through, but in a lot of situation, the former is embodiment more preferably. Based on such understanding, the part that prior art is contributed by technical scheme substantially in other words can embody with the form of software product, this computer software product is stored in a storage medium (such as ROM/RAM, magnetic disc, CD), including some instructions with so that a station terminal equipment (can be mobile phone, computer, server, air-conditioner, or the network equipment etc.) perform the method described in each embodiment of the present invention.
These are only optional embodiment of the present invention; not thereby the scope of the claims of the present invention is limited; every equivalent structure utilizing description of the present invention and accompanying drawing content to make or equivalence flow process conversion; or directly or indirectly it is used in other relevant technical fields, all in like manner include in the scope of patent protection of the present invention.

Claims (10)

1. a fingerprint identification device, it is characterised in that described fingerprint identification device includes:
Identification module, is used for gathering fingerprint, carries out fingerprint recognition according to the fingerprint base being pre-configured with;
Newly-increased module, if for described fingerprint by fingerprint recognition, then obtaining the newly-increased fingerprint characteristic of described fingerprint according to described fingerprint base;
Add module, for adding described newly-increased fingerprint characteristic to described fingerprint base, update described fingerprint base.
2. fingerprint identification device as claimed in claim 1, it is characterised in that described newly-increased module includes:
Effective unit, if for described fingerprint by fingerprint recognition, then obtaining effective fingerprint characteristic of described fingerprint;
Newly-increased unit, for according to described effective fingerprint characteristic and described fingerprint base, obtains in described effective fingerprint characteristic the newly-increased fingerprint characteristic that fingerprint characteristic is described fingerprint not by described fingerprint base record.
3. the fingerprint identification device as described in any one of claim 1 or 2, it is characterised in that described fingerprint identification device also includes:
Search module, for according to the information table being pre-configured with, searching described newly-increased fingerprint characteristic;
Weighting block, if for finding described newly-increased fingerprint characteristic in described information table, then obtaining the weighted value of described newly-increased fingerprint characteristic;
Described interpolation module, if being additionally operable to the Weighted Threshold that described weighted value reaches to preset, then adds described newly-increased fingerprint characteristic to described fingerprint base, updates described fingerprint base.
4. fingerprint identification device as claimed in claim 3, it is characterised in that described weighting block includes:
Updating block, if for finding described newly-increased fingerprint characteristic in described information table, then updating described information table, obtains acquisition time and the cumulative number of described newly-increased fingerprint characteristic according to the information table after described renewal;
Weighted units, for according to described acquisition time, described cumulative number and default rule, obtaining the weighted value of described newly-increased fingerprint characteristic.
5. fingerprint identification device as claimed in claim 4, it is characterised in that described fingerprint identification device also includes:
Logging modle, if for not finding described newly-increased fingerprint characteristic in described information table, then recording described newly-increased fingerprint characteristic and the acquisition time of described newly-increased fingerprint characteristic, cumulative number in described information table.
6. a fingerprint identification method, it is characterised in that described fingerprint identification method comprises the following steps:
Gather fingerprint, carry out fingerprint recognition according to the fingerprint base being pre-configured with;
If described fingerprint passes through fingerprint recognition, then obtain the newly-increased fingerprint characteristic of described fingerprint according to described fingerprint base;
Add described newly-increased fingerprint characteristic to described fingerprint base, update described fingerprint base.
7. fingerprint identification method as claimed in claim 6, it is characterised in that if described fingerprint is by fingerprint recognition, then the step of the newly-increased fingerprint characteristic obtaining described fingerprint according to described fingerprint base includes:
If described fingerprint passes through fingerprint recognition, then obtain effective fingerprint characteristic of described fingerprint;
According to described effective fingerprint characteristic and described fingerprint base, obtain in described effective fingerprint characteristic the newly-increased fingerprint characteristic that fingerprint characteristic is described fingerprint not by described fingerprint base record.
8. the fingerprint identification method as described in any one of claim 6 or 7, it is characterised in that if described fingerprint is by fingerprint recognition, then, obtain the step of newly-increased fingerprint characteristic of described fingerprint according to described fingerprint base after, also include:
According to the information table being pre-configured with, search described newly-increased fingerprint characteristic;
If finding described newly-increased fingerprint characteristic in described information table, then obtain the weighted value of described newly-increased fingerprint characteristic;
Described adding described newly-increased fingerprint characteristic to described fingerprint base, the step updating described fingerprint base includes:
If described weighted value reaches the Weighted Threshold preset, then add described newly-increased fingerprint characteristic to described fingerprint base, update described fingerprint base.
9. fingerprint identification method as claimed in claim 8, it is characterised in that find described newly-increased fingerprint characteristic in described information table if described, then the step of the weighted value obtaining described newly-increased fingerprint characteristic includes:
If finding described newly-increased fingerprint characteristic in described information table, then updating described information table, obtaining acquisition time and the cumulative number of described newly-increased fingerprint characteristic according to the information table after described renewal;
According to described acquisition time, described cumulative number and default rule, obtain the weighted value of described newly-increased fingerprint characteristic.
10. fingerprint identification method as claimed in claim 9, it is characterised in that the information table that described basis is pre-configured with, after searching the step of described newly-increased fingerprint characteristic, also includes:
If not finding described newly-increased fingerprint characteristic in described information table, then in described information table, record described newly-increased fingerprint characteristic and the acquisition time of described newly-increased fingerprint characteristic, cumulative number.
CN201610095316.2A 2016-02-19 2016-02-19 Fingerprint identification device and method Pending CN105654071A (en)

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CN106529481A (en) * 2016-11-11 2017-03-22 努比亚技术有限公司 Fingerprint identification parameter configuration device and method
CN106682609A (en) * 2016-12-23 2017-05-17 努比亚技术有限公司 Detecting method and device for legality of additionally recorded fingerprints
CN109522827A (en) * 2018-10-31 2019-03-26 维沃移动通信有限公司 A kind of method, apparatus and terminal device acquiring biological characteristic
CN109583400A (en) * 2018-12-05 2019-04-05 成都牧云慧视科技有限公司 One kind is registered automatically without intervention for livestock identity and knows method for distinguishing
CN109635703A (en) * 2018-12-05 2019-04-16 成都牧云慧视科技有限公司 It is a kind of to be interrupted the recognition methods for registering and continuing to carry out reference data update
CN110348269A (en) * 2018-04-02 2019-10-18 杭州海康威视数字技术股份有限公司 A kind of fingerprint input method, device, system and electronic equipment
CN113837006A (en) * 2021-08-20 2021-12-24 奥比中光科技集团股份有限公司 Face recognition method and device, storage medium and electronic equipment

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CN102693420A (en) * 2012-05-25 2012-09-26 深圳市亚略特生物识别科技有限公司 Automatic updating method for fingerprint template
CN105303176A (en) * 2015-10-19 2016-02-03 广东欧珀移动通信有限公司 Fingerprint template updating method and device

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CN102693420A (en) * 2012-05-25 2012-09-26 深圳市亚略特生物识别科技有限公司 Automatic updating method for fingerprint template
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Publication number Priority date Publication date Assignee Title
CN106529481A (en) * 2016-11-11 2017-03-22 努比亚技术有限公司 Fingerprint identification parameter configuration device and method
CN106682609A (en) * 2016-12-23 2017-05-17 努比亚技术有限公司 Detecting method and device for legality of additionally recorded fingerprints
CN110348269A (en) * 2018-04-02 2019-10-18 杭州海康威视数字技术股份有限公司 A kind of fingerprint input method, device, system and electronic equipment
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CN109522827A (en) * 2018-10-31 2019-03-26 维沃移动通信有限公司 A kind of method, apparatus and terminal device acquiring biological characteristic
CN109583400A (en) * 2018-12-05 2019-04-05 成都牧云慧视科技有限公司 One kind is registered automatically without intervention for livestock identity and knows method for distinguishing
CN109635703A (en) * 2018-12-05 2019-04-16 成都牧云慧视科技有限公司 It is a kind of to be interrupted the recognition methods for registering and continuing to carry out reference data update
CN113837006A (en) * 2021-08-20 2021-12-24 奥比中光科技集团股份有限公司 Face recognition method and device, storage medium and electronic equipment
CN113837006B (en) * 2021-08-20 2024-06-04 奥比中光科技集团股份有限公司 Face recognition method and device, storage medium and electronic equipment

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