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CN108399665A - Method for safety monitoring, device based on recognition of face and storage medium - Google Patents

Method for safety monitoring, device based on recognition of face and storage medium Download PDF

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Publication number
CN108399665A
CN108399665A CN201810003944.2A CN201810003944A CN108399665A CN 108399665 A CN108399665 A CN 108399665A CN 201810003944 A CN201810003944 A CN 201810003944A CN 108399665 A CN108399665 A CN 108399665A
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CN
China
Prior art keywords
face
active user
user
face image
recognition
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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
CN201810003944.2A
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Chinese (zh)
Inventor
杨勇
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Ping An Technology Shenzhen Co Ltd
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Ping An Technology Shenzhen Co Ltd
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Application filed by Ping An Technology Shenzhen Co Ltd filed Critical Ping An Technology Shenzhen Co Ltd
Priority to CN201810003944.2A priority Critical patent/CN108399665A/en
Priority to PCT/CN2018/077623 priority patent/WO2019134246A1/en
Publication of CN108399665A publication Critical patent/CN108399665A/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
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • G06V40/166Detection; Localisation; Normalisation using acquisition arrangements
    • 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
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00Individual registration on entry or exit
    • G07C9/20Individual registration on entry or exit involving the use of a pass
    • G07C9/22Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
    • G07C9/25Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition
    • G07C9/257Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition electronically
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00Individual registration on entry or exit
    • G07C9/20Individual registration on entry or exit involving the use of a pass
    • G07C9/27Individual registration on entry or exit involving the use of a pass with central registration

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • General Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Collating Specific Patterns (AREA)

Abstract

The present invention proposes that a kind of method for safety monitoring, device and storage medium based on recognition of face, this method include:Photographic device shoots the realtime graphic of an active user, obtains the face image of active user;Judge whether the face image blocks;If the face image does not block, which is inputted into the predetermined face identification system regularly updated, identify may in the matched User Information Database of the face image one or more identity card picture and corresponding matching probability;Identity card picture of the corresponding identity card picture of maximum probability value as active user is taken, and transfers the identity information of active user according to the identity card picture;And the identity information of active user is compared with blacklist, whether opened the door according to comparison result access control system.The present invention prevents face from having the user in the user blocked and blacklist to enter monitoring area by face occlusion detection and recognition of face, improves the safety of monitoring area.

Description

Method for safety monitoring, device based on recognition of face and storage medium
Technical field
The present invention relates to computer vision processing technology field more particularly to a kind of security monitoring sides based on recognition of face Method, electronic device and computer readable storage medium.
Background technology
Currently, the application field of recognition of face is very extensive, in various fields such as financial payment, access control and attendance, identifications Play the role of very important, convenience is brought to people’s lives.The ATM self-help drawing moneys room of present bank is substantially one Open place, if press access control button or access control system sense someone will automatic door opening, anyone can Arbitrarily disengaging so that there are security risks for ATM self-help drawing moneys room.Therefore, how to be entered using recognition of face blocking crime one's share of expenses for a joint undertaking ATM self-help drawing moneys room, safeguards bank's reputation and public security, is a problem for being badly in need of solving.
Invention content
The present invention provides a kind of method for safety monitoring, electronic device and computer-readable storage medium based on recognition of face Matter prevents face from having in the user blocked and blacklist its main purpose is, by face occlusion detection and recognition of face User enters monitoring area, improves the safety of monitoring area.
To achieve the above object, the present invention provides a kind of method for safety monitoring based on recognition of face, is applied to electronics and fills It sets, this method includes:
S1, the enabling request for receiving user's triggering, wake up the realtime graphic that photographic device shoots an active user, to this Realtime graphic carries out the face image that pretreatment obtains active user;
S2, the face image is inputted into predetermined face sheltering detection system, judges whether the face image is sent out Life is blocked;
If S3, the face image do not block, which is inputted into the predetermined face regularly updated and is known Other system, identifying may be with one or more identity card picture in the matched User Information Database of the face image and right The matching probability answered;
S4, in one or more identity card picture identified, take the corresponding identity card picture conduct of maximum probability value The identity card picture of active user, and transfer according to the identity card picture identity information of active user;And
S5, the identity information of active user is compared with blacklist, when the subscriber identity information of active user can not With in blacklist when information matches, access control system is opened the door;Or, when information in the identity information and blacklist of active user Match, alternatively, when the face image blocks, access control system is not opened the door.
In addition, to achieve the above object, the present invention also provides a kind of electronic device, which includes:Memory, processor And photographic device, the memory include the security monitor program based on recognition of face, the security monitor program is by the place Reason device realizes following steps when executing:
A, the enabling request for receiving user's triggering, wakes up the realtime graphic that photographic device shoots an active user, to this Realtime graphic carries out the face image that pretreatment obtains active user;
B, the face image is inputted into predetermined face sheltering detection system, judges whether the face image occurs It blocks;
If C, the face image does not block, which is inputted into the predetermined recognition of face regularly updated System, identifying may be with one or more identity card picture in the matched User Information Database of the face image and corresponding Matching probability;
D, it in one or more identity card picture identified, takes the corresponding identity card picture of maximum probability value to be used as and works as The identity card picture of preceding user, and transfer according to the identity card picture identity information of active user;And
E, the identity information of active user is compared with blacklist, when the subscriber identity information of active user can not be with In blacklist when information matches, access control system is opened the door;Or, when information in the identity information and blacklist of active user Match, alternatively, when the face image blocks, access control system is not opened the door.
In addition, to achieve the above object, it is described computer-readable the present invention also provides a kind of computer readable storage medium Storage medium includes the security monitor program based on recognition of face, when which is executed by processor, is realized such as Arbitrary steps in the upper method for safety monitoring based on recognition of face.
Method for safety monitoring, electronic device and computer readable storage medium proposed by the present invention based on recognition of face, Face occlusion detection is carried out to user's face image first, prevents face from having the user blocked to enter monitoring area;Then, to face The user that portion is not blocked determines user identity by recognition of face, and subscriber identity information is compared with blacklist, is prevented black User in list enters monitoring area;Periodically face identification system is updated, improves the accuracy of recognition of face;From more Aspect improves the safety of monitoring area.
Description of the drawings
Fig. 1 is the schematic diagram of electronic device preferred embodiment of the present invention;
Fig. 2 is the Program modual graph of the security monitor program based on recognition of face in Fig. 1;
Fig. 3 is that the present invention is based on the flow charts of the method for safety monitoring preferred embodiment of recognition of face;
Fig. 4 is that the present invention is based on the refinement flow diagrams of step S20 in the method for safety monitoring of recognition of face.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific implementation mode
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
The present invention provides a kind of electronic device 1.It is the signal of 1 preferred embodiment of electronic device of the present invention shown in referring to Fig.1 Figure.In the present embodiment, electronic device 1 can be PC (Personal Computer, PC), can also be intelligent hand Machine, tablet computer, E-book reader, pocket computer, server etc. have the terminal device of computing function.In other implementations In example, when electronic device 1 is server, which may include:Rack-mount server, blade server, tower clothes Business device or Cabinet-type server etc..
The electronic device 1 includes:Processor 12, memory 11, photographic device 13, network interface 14 and communication bus 15. Wherein, electronic device 1 connects access control system by network interface 14, and optionally, network interface 14 may include the wired of standard Interface, wireless interface (such as WI-FI interfaces).Communication bus 15 is for realizing the connection communication between these components.
Memory 11 includes the readable storage medium storing program for executing of at least one type.The readable storage medium storing program for executing of at least one type It can be the non-volatile memory medium of such as flash memory, hard disk, multimedia card, card-type memory.In some embodiments, described can Read the internal storage unit that storage medium can be the electronic device 1, such as the hard disk of the electronic device 1.In other realities It applies in example, the readable storage medium storing program for executing can also be on the external memory of the electronic device 1, such as the electronic device 1 The plug-in type hard disk of outfit, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) Card, flash card (Flash Card) etc..
In the present embodiment, the readable storage medium storing program for executing of the memory 11 is installed on the electronic device commonly used in storage 1 security monitor program 10 based on recognition of face, predetermined face sheltering detection system, face identification system and user Information database (not identified in figure) etc..Wherein, it is stored with all users' of certain financial institution in the User Information Database Information, including:Name, gender, age, identification card number, identity card, the user are in information such as the accounts of financial institution.It is described to deposit Reservoir 11 can be also used for temporarily storing the data that has exported or will export.
Processor 12 can be in some embodiments a central processing unit (Central Processing Unit, CPU), microprocessor or other data processing chips, the program code for being stored in run memory 11 or processing data, example Such as execute the security monitor program 10 based on recognition of face.
Photographic device 13 either the electronic device 1 a part, can also be independently of electronic device 1.At some In embodiment, the electronic device 1 is the terminal device with camera such as smart mobile phone, tablet computer, pocket computer, then The photographic device 13 is the camera of the electronic device 1.In other embodiments, the electronic device 1 can be clothes Business device, the photographic device 13 pass through network connection independently of the electronic device 1, with the electronic device 1.
In the present embodiment, which is installed on security monitoring region, such as ATM self-help drawing moneys room doorway, to needing The user's captured in real-time that enter ATM self-help drawing moneys room obtains realtime graphic, and realtime graphic is transmitted to processor by network 12, processor 12 identifies the identity of active user from realtime graphic, and is called from the User Information Database of memory 11 Whether the identity information of active user determines active user by the way that the identity information of active user to be compared with blacklist Safety, and whether access control system opens the door.
Fig. 1 illustrates only the electronic device 1 with component 11-15, it should be understood that being not required for implementing all show The component gone out, the implementation that can be substituted is more or less component.
Optionally, which can also include user interface, and user interface may include input unit such as keyboard (Keyboard), speech input device such as microphone (microphone) etc. has the equipment of speech identifying function, voice defeated Go out device such as sound equipment, earphone etc., optionally user interface can also include standard wireline interface and wireless interface.
Optionally, which can also include display, and display is referred to as display screen or display unit. Can be light-emitting diode display, liquid crystal display, touch-control liquid crystal display and Organic Light Emitting Diode in some embodiments (Organic Light-Emitting Diode, OLED) touches device etc..Display is used to show and handle in the electronic apparatus 1 Information and for showing visual user interface.
Optionally, which further includes touch sensor.What the touch sensor was provided touches for user The region for touching operation is known as touch area.In addition, touch sensor described here can be resistive touch sensor, capacitance Formula touch sensor etc..Moreover, the touch sensor not only includes the touch sensor of contact, proximity may also comprise Touch sensor etc..In addition, the touch sensor can be single sensor, or such as multiple biographies of array arrangement Sensor.
In addition, the area of the display of the electronic device 1 can be identical as the area of the touch sensor, it can not also Together.Optionally, display and touch sensor stacking are arranged, to form touch display screen.The device is based on touching aobvious Display screen detects the touch control operation of user's triggering.
Optionally, which can also include access control, and the access control is mounted on security monitoring region Outside, user sends request of opening the door by pressing access control to electronic device 1.
In device embodiment shown in Fig. 1, the memory 11 as a kind of computer storage media includes being based on people The security monitor program 10 of face identification;Processor 12 executes the security monitor program based on recognition of face stored in memory 11 Following steps are realized when 10:
A, the enabling request for receiving user's triggering, wakes up the realtime graphic that photographic device 13 shoots an active user, right The realtime graphic carries out the face image that pretreatment obtains active user;
B, the face image is inputted into predetermined face sheltering detection system, judges whether the face image occurs It blocks;
If C, the face image does not block, which is inputted into the predetermined recognition of face regularly updated System, identifying may be with one or more identity card picture in the matched User Information Database of the face image and corresponding Matching probability;
D, it in one or more identity card picture identified, takes the corresponding identity card picture of maximum probability value to be used as and works as The identity card picture of preceding user, and transfer according to the identity card picture identity information of active user;And
E, the identity information of active user is compared with blacklist, when the subscriber identity information of active user can not be with In blacklist when information matches, access control system is opened the door;Or, when information in the identity information and blacklist of active user Match, alternatively, when the face image blocks, access control system is not opened the door.
In the present embodiment, by taking the ATM self-help drawing moneys room of bank as an example, but it is not limited only to the ATM self-help drawing moneys room of bank, The concrete scheme of the present invention is illustrated.It, can be self-service by pressing ATM when there is user to need to enter the self-help drawing money rooms ATM The outdoor access control of withdrawal wakes up photographic device 13 and shoots a realtime graphic to active user, and the realtime graphic is led to It crosses network and is sent to processor 12.In order to determine the corresponding face image of active user from realtime graphic, need to scheming in real time As being pre-processed, in order to subsequent recognition of face step.
In other embodiments, the pre-treatment step includes:It is identified from the realtime graphic using face recognition algorithms Go out human face region;After processor 12 receives the realtime graphic, the size of picture is first obtained, the ash of a same size is established Spend image;By the coloured image of acquisition, it is converted into gray level image, while creating a memory headroom;By gray level image histogram Equalization makes gray level image information amount reduce, and accelerates detection speed, then detects the face in picture, and return to one and include The object of face information, obtains the data of face position, and records number;Under the final region for obtaining head portrait and preservation Come, this completes the processes of human face region extraction.
If it is understood that there is several users in the image pickup scope of photographic device 13, several user distance camera shootings fill 13 distance difference is set, multiple users face size in realtime graphic is also different.That is, the reality that photographic device 13 is shot When image in may include the face image of multiple users, multiple faces are extracted from realtime graphic using face recognition algorithms Region selects face image of the maximum human face region of size as active user from multiple human face regions.If from real-time figure A human face region is only extracted as in, then using the human face region as the face image of active user.Meanwhile for the ease of rear The face image is pressed default size (for example, 256*256 pixels) and preserved by continuous face occlusion detection and recognition of face.At other In embodiment, the face recognition algorithms can also be:Method, Local Features Analysis method, eigenface based on geometric properties Method, the method based on elastic model, neural network method, etc..
It is understood that in order to ensure the safety of ATM self-help drawing moneys room, the user that can refuse to block face enters, Therefore it need to judge whether the face image blocks, specifically include following steps:
By the predetermined facial averaging model of the face image input of active user, to be identified from the face image Go out t face feature point.Work as t=34, real-time face image is aligned with the face averaging model, is then carried using feature Algorithm is taken to be searched in the real-time face image and the matched 12 eye socket spies of 34 face feature points of the face averaging model Levy point, 2 eyeball characteristic points, 20 lip characteristic points.It is then possible to true according to 12 eye socket characteristic points, 2 eyeball characteristic points A fixed ocular, determines a lip-region, by determining ocular and lip area according to 20 lip characteristic points Domain inputs the eye disaggregated model of predetermined face and the lip disaggregated model of face, is judged according to the result that model obtains The ocular of the determination and the authenticity of lip-region.When in the result that eye disaggregated model and lip disaggregated model export It is false, then it represents that the ocular and lip-region are not the ocular of people and the lip-region of people, are judged current Face image blocks, and access control system is not opened the door, and is output by voice device prompt user face and blocks;When It is true in eye disaggregated model and the result of lip disaggregated model output, then it represents that the ocular and lip-region are The ocular of people and the lip-region of people, that is to say, that current face image does not block.It should be noted that the face Portion's averaging model, lip disaggregated model and eye disaggregated model are trained in advance, and training step and identification step have More ripe technology, it will not be described here.
After primarily determining that current face image does not block, face image is inputted into predetermined recognition of face system System, may be with matched one or more identity card picture of current face image and corresponding matching from User Information Database Probability.Wherein, the face identification system is trained in advance using the photo of all users in user data information library, Face recognition technology comparative maturity at present, it will not be described here.
In this example, it is assumed that face identification system identifies that 3 identity card pictures P1, P2, P3, every identity card shine The corresponding matching probability of piece is respectively 0.6,0.2,0.2, the corresponding identity card of face identification system default choice maximum probability value Identity card pictures of the photo P1 as active user, and all of active user are transferred out from user data information library according to P1 Information, including:Identification card number, name, age, gender, bank's card number, cell-phone number etc..It is understood that the matching probability It is bigger, indicate the identity card picture identified be exactly the identity card picture of active user possibility it is bigger, therefore, in other realities It applies in example, in order to improve the accuracy of recognition of face, the probability of one or more identity card picture identified can be carried out Screening retains the corresponding identity card of maximum probability value when maximum probability value is greater than or equal to the first predetermined threshold value (such as 0.5) Identity card pictures of the photo P1 as active user;When maximum probability value is less than the first predetermined threshold value, it is output by voice dress Prompt active user is set to take pictures again.
It is understood that with age, certain variation can occur for everyone appearance, therefore, in order to ensure The accuracy of recognition of face needs to be updated face identification system every prefixed time interval (for example, 6 months), and more The source of new data i.e. user enter the photo shot when the self-help drawing money rooms ATM, each user shot from photographic device 13 Realtime graphic in the face image that extracts, when the identity card identified from User Information Database according to face image When the matching probability maximum value of photo is greater than or equal to the second predetermined threshold value (such as 0.58), the face image is added into use In the information database of family in the identity information of active user, and using the photo of each user of supplement periodically to the recognition of face System is updated.It should be noted that being active user in order to ensure adding to the photo in User Information Database Photo, rather than the photo of other users, second predetermined threshold value should be set greater than the first predetermined threshold value.
After the identity information for confirming active user, then it can be compared with blacklist, in the present embodiment, the black name May include singly:The Concern Mafias such as fugitive offender, terrorist that public security system is issued relate to the identity information for the personnel that are probably involved in drug traffic, example Such as, identification card number the identification card number of active user is compared with the identification card number in blacklist, when the identity of active user Card number can not be in blacklist when information matches, and access control system is opened the door;When in the identity information and blacklist of active user Information matches, access control system are not opened the door.
Above-described embodiment propose electronic device 1, user identity is determined by recognition of face, by subscriber identity information with it is black List is compared, and prevents the user in blacklist from entering security monitoring region, by carrying out face screening to user's face image Gear detection, prevents face from having the user blocked to enter security monitoring region, is periodically updated to face identification system, improves peace The safety of full monitoring area.
Optionally, in other embodiments, the security monitor program 10 based on recognition of face can also be divided into one Or multiple modules, one or more module are stored in memory 11, and executed by processor 12, to complete this hair It is bright.The so-called module of the present invention is the series of computation machine program instruction section for referring to complete specific function.With reference to shown in Fig. 2, For the Program modual graph of the security monitor program 10 based on recognition of face in Fig. 1.The security monitoring journey based on recognition of face Sequence 10 can be divided into:Acquisition module 110, identification module 130, transfers module 140 and control module at detection module 120 150.The functions or operations step that the module 110-150 is realized is similar as above, and and will not be described here in detail, illustratively, Such as wherein:
Acquisition module 110, the enabling request for receiving user's triggering wake up photographic device one active user's of shooting Realtime graphic carries out the face image that pretreatment obtains active user to the realtime graphic;
Detection module 120 judges the face for the face image to be inputted predetermined face sheltering detection system Whether portion's image blocks;
Identification module 130, it is if not blocked for the face image, face image input is predetermined periodically Newer face identification system, identifying may be with one or more body in the matched User Information Database of the face image Part license piece and corresponding matching probability;
Module 140 is transferred, in one or more identity card picture identified, taking the corresponding body of maximum probability value The identity card picture of part license piece as active user, and transfer according to the identity card picture identity information of active user; And
Control module 150, for the identity information of active user to be compared with blacklist, as the user of active user Identity information can not be in blacklist when information matches, and access control system is opened the door;Or, when active user identity information with it is black Information matches in list, alternatively, when the face image blocks, access control system is not opened the door.
In addition, the present invention also provides a kind of method for safety monitoring based on recognition of face.With reference to shown in Fig. 3, for the present invention The flow chart of method for safety monitoring first embodiment based on recognition of face.This method can be executed by a device, the device It can be by software and or hardware realization.
In the present embodiment, the method for safety monitoring based on recognition of face includes:
S10, the enabling request for receiving user's triggering, wake up the realtime graphic that photographic device shoots an active user, right The realtime graphic carries out the face image that pretreatment obtains active user;
S20, the face image is inputted into predetermined face sheltering detection system, judges whether the face image is sent out Life is blocked;
If S30, the face image do not block, which is inputted into the predetermined face regularly updated and is known Other system, identifying may be with one or more identity card picture in the matched User Information Database of the face image and right The matching probability answered;
S40, in one or more identity card picture identified, take the corresponding identity card picture conduct of maximum probability value The identity card picture of active user, and transfer according to the identity card picture identity information of active user;And
S50, the identity information of active user is compared with blacklist, when the subscriber identity information of active user can not With in blacklist when information matches, access control system is opened the door;Or, when information in the identity information and blacklist of active user Match, alternatively, when the face image blocks, access control system is not opened the door.
In the present embodiment, by taking the ATM self-help drawing moneys room of bank as an example, but it is not limited only to the ATM self-help drawing moneys room of bank, The concrete scheme of the present invention is illustrated.It, can be self-service by pressing ATM when there is user to need to enter the self-help drawing money rooms ATM The outdoor access control of withdrawal wakes up photographic device and shoots a realtime graphic to active user, and the realtime graphic is passed through Network is sent to processor.In order to determine the corresponding face image of active user from realtime graphic, need to realtime graphic into Row pretreatment, in order to subsequent recognition of face step.
In other embodiments, the pre-treatment step in the step S10 includes:It is real-time from this using face recognition algorithms Human face region is identified in image;After processor receives the realtime graphic, first obtain picture size, establish one it is identical The gray level image of size;By the coloured image of acquisition, it is converted into gray level image, while creating a memory headroom;By gray-scale map As histogram equalization, gray level image information amount is made to reduce, accelerate detection speed, then detects the face in picture, and return One object for including face information, obtains the data of face position, and records number;The final region for obtaining head portrait and It preserves, this completes the processes of human face region extraction.
If it is understood that there is several users in the image pickup scope of photographic device, several user distance photographic devices Distance it is different, multiple users face size in realtime graphic is also different.That is, the realtime graphic of photographic device shooting The middle face image that may include multiple users, multiple human face regions are extracted using face recognition algorithms from realtime graphic, Face image of the maximum human face region of size as active user is selected from multiple human face regions.If from realtime graphic only A human face region is extracted, then using the human face region as the face image of active user.Meanwhile for the ease of follow-up face The face image is pressed default size (for example, 256*256 pixels) and preserved by occlusion detection and recognition of face.In other embodiment In, the face recognition algorithms can also be:Method, Local Features Analysis method based on geometric properties, eigenface method, base In the method for elastic model, neural network method, etc..
It is understood that in order to ensure the safety of ATM self-help drawing moneys room, the user that can refuse to block face enters, Therefore it need to judge whether the face image blocks.It is after determining that current face image does not block, face image is defeated Enter predetermined face identification system, it may be with current face image matched one or more from User Information Database Identity card picture and corresponding matching probability.Wherein, the face identification system is using all in user data information library The photo of user is trained in advance, at present face recognition technology comparative maturity, and it will not be described here.
In this example, it is assumed that face identification system identifies that 3 identity card pictures P1, P2, P3, every identity card shine The corresponding matching probability of piece is respectively 0.6,0.2,0.2, the corresponding identity card of face identification system default choice maximum probability value Identity card pictures of the photo P1 as active user, and all of active user are transferred out from user data information library according to P1 Information, including:Identification card number, name, age, gender, bank's card number, cell-phone number etc..It is understood that the matching probability It is bigger, indicate the identity card picture identified be exactly the identity card picture of active user possibility it is bigger, therefore, in other realities It applies in example, in order to improve the accuracy of recognition of face, the probability of one or more identity card picture identified can be carried out Screening retains the corresponding identity card of maximum probability value when maximum probability value is greater than or equal to the first predetermined threshold value (such as 0.5) Identity card pictures of the photo P1 as active user;When maximum probability value is less than the first predetermined threshold value, it is output by voice dress Prompt active user is set to take pictures again.
It is understood that with age, certain variation can occur for everyone appearance, therefore, in order to ensure The accuracy of recognition of face needs to be updated face identification system every prefixed time interval (for example, 6 months), and more The source of new data i.e. user enter the photo shot when the self-help drawing money rooms ATM, each user's shot from photographic device In the face image extracted in realtime graphic, when the identity card identified from User Information Database according to face image shines When the matching probability maximum value of piece is greater than or equal to the second predetermined threshold value (such as 0.58), the face image is added into user In information database in the identity information of active user, and using the photo of each user of supplement periodically to the recognition of face system System is updated.It should be noted that being active user's in order to ensure adding to the photo in User Information Database Photo, rather than the photo of other users, second predetermined threshold value should be set greater than the first predetermined threshold value.
After the identity information for confirming active user, then it can be compared with blacklist, in the present embodiment, the black name May include singly:The Concern Mafias such as fugitive offender, terrorist that public security system is issued relate to the identity information for the personnel that are probably involved in drug traffic, example Such as, identification card number the identification card number of active user is compared with the identification card number in blacklist, when the identity of active user Card number can not be in blacklist when information matches, and access control system is opened the door;When in the identity information and blacklist of active user Information matches, access control system are not opened the door.
It should be noted that first predetermined threshold value, second predetermined threshold value etc. need pre-set parameter, Ke Yigen It needs to be adjusted according to user.
The method for safety monitoring based on recognition of face that above-described embodiment proposes, user identity is determined by recognition of face, Subscriber identity information is compared with blacklist, prevents the user in blacklist from entering security monitoring region, and periodically to people Face identifying system is updated, and is improved recognition of face accuracy, is improved the safety in security monitoring region.
Another preferred embodiment of the method for safety monitoring based on recognition of face is proposed based on above-described embodiment.With reference to figure It is the refinement flow diagram of the step S20 of the method for safety monitoring the present invention is based on recognition of face shown in 4.In the present embodiment In, the step S20 includes the following steps:
Step S21 identifies t face feature point from the face image, according to the position of the t face feature point Information determines ocular and lip-region;
Step S22 judges the authenticity of the ocular and lip-region, when the ocular and lip-region When judging result is true, judge that the face image does not block;And
Step S23 judges the face image when the judging result of the ocular and lip-region includes untrue It blocks.
By the predetermined facial averaging model of the face image input of active user, to be identified from the face image Go out t face feature point.Work as t=34, real-time face image is aligned with the face averaging model, is then carried using feature Algorithm is taken to be searched in the real-time face image and the matched 12 eye socket spies of 34 face feature points of the face averaging model Levy point, 2 eyeball characteristic points, 20 lip characteristic points.It is then possible to true according to 12 eye socket characteristic points, 2 eyeball characteristic points A fixed ocular, determines a lip-region, by determining ocular and lip area according to 20 lip characteristic points Domain inputs the eye disaggregated model of predetermined face and the lip disaggregated model of face, is judged according to the result that model obtains The ocular of the determination and the authenticity of lip-region.When in the result that eye disaggregated model and lip disaggregated model export It is false, then it represents that the ocular and lip-region are not the ocular of people and the lip-region of people, are judged current Face image blocks, and access control system is not opened the door, and is output by voice device prompt user face and blocks;When It is true in eye disaggregated model and the result of lip disaggregated model output, then it represents that the ocular and lip-region are The ocular of people and the lip-region of people, that is to say, that current face image does not block, continues recognition of face step Suddenly.It should be noted that the face averaging model, lip disaggregated model and eye disaggregated model are trained in advance, Training step and identification step have more ripe technology, and it will not be described here.
The method for safety monitoring based on recognition of face that above-described embodiment proposes, by carrying out face to user's face image Occlusion detection prevents face from having the user blocked to enter security monitoring region, improves the safety in security monitoring region.
Another preferred embodiment of the method for safety monitoring based on recognition of face is proposed based on above-described embodiment.In this reality It applies in example, the step S50 further includes:When information matches in the identity information of active user and blacklist, acquisition is being pacified The user information of the other users of business processing is carried out in full monitoring area, and sends early warning short message to the other users.
When information matches in the identity information of active user and blacklist, acquisition just carries out in ATM self-help drawing moneys room The user information of the other users of transaction, such as phone number, and early warning short message is sent to other users, inform other users ATM self-help drawing moneys have Concern Mafia to relate to the personnel that are probably involved in drug traffic outside room, it is noted that personal life and property safety.
The method for safety monitoring based on recognition of face that above-described embodiment proposes, to just being handed in security monitoring region Easy user sends out short message warning, improves the usage experience of user.
In addition, the present invention also proposes that a kind of computer readable storage medium, the computer readable storage medium include Security monitor program based on recognition of face realizes following operation when the security monitor program is executed by processor:
A, the enabling request for receiving user's triggering, wakes up the realtime graphic that photographic device shoots an active user, to this Realtime graphic carries out the face image that pretreatment obtains active user;
B, the face image is inputted into predetermined face sheltering detection system, judges whether the face image occurs It blocks;
If C, the face image does not block, which is inputted into the predetermined recognition of face regularly updated System, identifying may be with one or more identity card picture in the matched User Information Database of the face image and corresponding Matching probability;
D, it in one or more identity card picture identified, takes the corresponding identity card picture of maximum probability value to be used as and works as The identity card picture of preceding user, and transfer according to the identity card picture identity information of active user;And
E, the identity information of active user is compared with blacklist, when the subscriber identity information of active user can not be with In blacklist when information matches, access control system is opened the door;Or, when information in the identity information and blacklist of active user Match, alternatively, when the face image blocks, access control system is not opened the door.
The specific implementation mode of the computer readable storage medium of the present invention is with above-mentioned electronic device and based on recognition of face Method for safety monitoring specific implementation mode it is roughly the same, details are not described herein.
It should be noted that herein, the terms "include", "comprise" or its any other variant are intended to non-row His property includes, so that process, device, article or method including a series of elements include not only those elements, and And further include other elements that are not explicitly listed, or further include for this process, device, article or method institute it is intrinsic Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including this There is also other identical elements in the process of element, device, article or method.
The embodiments of the present invention are for illustration only, can not represent the quality of embodiment.Pass through above embodiment party The description of formula, it is required general that those skilled in the art can be understood that above-described embodiment method can add by software The mode of hardware platform is realized, naturally it is also possible to which by hardware, but the former is more preferably embodiment in many cases.It is based on Such understanding, substantially the part that contributes to existing technology can be with software product in other words for technical scheme of the present invention Form embody, which is stored in a storage medium (such as ROM/RAM, magnetic disc, light as described above Disk) in, including some instructions use is so that a station terminal equipment (can be mobile phone, computer, server or the network equipment Deng) execute method described in each embodiment of the present invention.
It these are only the preferred embodiment of the present invention, be not intended to limit the scope of the invention, it is every to utilize this hair Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills Art field, is included within the scope of the present invention.

Claims (10)

1. a kind of method for safety monitoring based on recognition of face, it is applied to electronic device, which is characterized in that this method includes:
S1, the enabling request for receiving user's triggering, wake up the realtime graphic that photographic device shoots an active user, real-time to this Image carries out the face image that pretreatment obtains active user;
S2, the face image is inputted into predetermined face sheltering detection system, judges whether the face image hides Gear;
If S3, the face image do not block, which is inputted into the predetermined recognition of face system regularly updated System, identifying may be with one or more identity card picture in the matched User Information Database of the face image and corresponding Matching probability;
S4, in one or more identity card picture identified, take the corresponding identity card picture of maximum probability value as current The identity card picture of user, and transfer according to the identity card picture identity information of active user;And
S5, the identity information of active user is compared with blacklist, when active user subscriber identity information can not with it is black In list when information matches, access control system is opened the door;Or, when information matches in the identity information and blacklist of active user, Alternatively, when the face image blocks, access control system is not opened the door.
2. the method for safety monitoring based on recognition of face as described in claim 1, which is characterized in that pre- in the step S1 Processing includes:
The human face region for including in the realtime graphic is identified using face recognition algorithms;
When including a human face region in the realtime graphic, then using the human face region as the face image of active user, and The face image is pressed default size to preserve;And
When including multiple human face regions in the realtime graphic, face of the maximum human face region of size as active user is chosen Image, and the face image is pressed into default size and is preserved.
3. the method for safety monitoring based on recognition of face as claimed in claim 1 or 2, which is characterized in that the step S4 is also Including:
When maximum probability value is greater than or equal to the first predetermined threshold value, the corresponding identity card picture of reservation maximum probability value, which is used as, works as The identity card picture of preceding user;And
When maximum probability value is less than the first predetermined threshold value, return to step S1.
4. the method for safety monitoring based on recognition of face as claimed in claim 3, which is characterized in that the step S4 is also wrapped It includes:
When maximum probability value is greater than or equal to the second predetermined threshold value, the face image is added in User Information Database In the identity information of active user, the face identification system is updated every prefixed time interval, wherein described second Predetermined threshold value is more than the first predetermined threshold value.
5. the method for safety monitoring based on recognition of face as claimed in claim 4, which is characterized in that the step S2 includes:
T face feature point is identified from the face image, and eye is determined according to the location information of the t face feature point Region and lip-region;
The authenticity for judging the ocular and lip-region, when the judging result of the ocular and lip-region is When true, judge that the face image does not block;And
When the judging result of the ocular and lip-region includes untrue, judge that the face image blocks.
6. the method for safety monitoring based on recognition of face as described in claim 1 or 5, which is characterized in that the step S5 is also Including:
When information matches in the identity information of active user and blacklist, obtains and carried out at business just in security monitoring region The user information of the other users of reason, and send early warning short message to the other users.
7. a kind of electronic device, which is characterized in that described device includes:Memory, processor and photographic device, the memory Include the security monitor program based on recognition of face, following step is realized when which is executed by the processor Suddenly:
A, the enabling request for receiving user's triggering, wakes up the realtime graphic that photographic device shoots an active user, real-time to this Image carries out the face image that pretreatment obtains active user;
B, the face image is inputted into predetermined face sheltering detection system, judges whether the face image hides Gear;
If C, the face image does not block, which is inputted into the predetermined recognition of face system regularly updated System identifies one or more identity card picture that may be in User Information Database corresponding with the face image and corresponding Matching probability;
D, in one or more identity card picture identified, the corresponding identity card picture of maximum probability value is taken to be used as current The identity card picture at family, and transfer according to the identity card picture identity information of active user;And
E, the identity information of active user is compared with blacklist, when the subscriber identity information of active user can not be with black name In list when information matches, access control system is opened the door;Or, when information matches in the identity information and blacklist of active user, or Person, when the face image blocks, access control system is not opened the door.
8. electronic device as claimed in claim 7, which is characterized in that the step D further includes:
When maximum probability value is greater than or equal to the first predetermined threshold value, the corresponding identity card picture of reservation maximum probability value, which is used as, works as The identity card picture of preceding user;And
When maximum probability value is less than the first predetermined threshold value, return to step A.
9. electronic device as claimed in claim 8, which is characterized in that the step D further includes:
When maximum probability value is greater than or equal to the second predetermined threshold value, the identity that the face image is added to active user is believed In breath, the face identification system is updated every prefixed time interval.
10. a kind of computer readable storage medium, which is characterized in that the computer readable storage medium includes being based on face The security monitor program of identification when the security monitor program is executed by processor, is realized such as any one of claim 1 to 6 institute The step of method for safety monitoring based on recognition of face stated.
CN201810003944.2A 2018-01-03 2018-01-03 Method for safety monitoring, device based on recognition of face and storage medium Pending CN108399665A (en)

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