WO2017020168A1

WO2017020168A1 - Fingerprint recognition method and device

Info

Publication number: WO2017020168A1
Application number: PCT/CN2015/085730
Authority: WO
Inventors: 冯春松; 许奕波
Original assignee: 宇龙计算机通信科技(深圳)有限公司
Priority date: 2015-07-31
Filing date: 2015-07-31
Publication date: 2017-02-09

Abstract

A fingerprint recognition method and device, used for increasing a fingerprint recognition rate. The fingerprint recognition method comprises: a processor obtains first fingerprint information collected by a collector (101), determines whether the first fingerprint information matches stored template fingerprint information (102), and if so, determines that fingerprint recognition is successful and stores portions of the first fingerprint information which do not overlap with the template fingerprint information in the template fingerprint information so as to form new template fingerprint information (103). Since the template fingerprint information is constantly enriched as the fingerprint recognition frequency increases, an automatic learning effect is achieved, thereby increasing the fingerprint recognition rate.

Description

Method and device for fingerprint recognition

Technical field

The present invention relates to the field of biometrics, and in particular, to a method and device for fingerprint recognition.

Background technique

Fingerprint recognition refers to identification by comparing the feature points of different fingerprints. Since the iPhone 5s, mobile phone fingerprint recognition has been paid more and more attention. More and more smart phones support fingerprint recognition, which is mainly used in two application scenarios: fingerprint unlocking and fingerprint payment.

In the fingerprint identification process, the collected fingerprint information is matched with the fingerprint in the stored fingerprint template library, and if the matching is successful, the recognition is considered successful. When the user enters the template fingerprint information, the same fingerprint area may be repeatedly pressed, and the fingerprint information saved in the last entered template is limited.

The user generally believes that the entire finger entering the fingerprint can be successfully identified, but only the entered area can be successfully identified because the template fingerprint information in the fingerprint template library is fixed and unchanged, so if the user is in recognition, when the finger is pressed When the area deviates from the entered area, the failure is identified. This user experience is not good and affects the fingerprint recognition rate.

Summary of the invention

The embodiment of the invention provides a fingerprint identification method and device, which can improve the fingerprint recognition rate.

In a first aspect, an embodiment of the present invention provides a fingerprint identification method, including:

The processor acquires first fingerprint information collected by the collector;

The processor determines whether the first fingerprint information matches the stored template fingerprint information;

If yes, the processor determines that the fingerprint identification is successful, and saves the portion of the first fingerprint information that does not overlap with the template fingerprint information to the template fingerprint information to form new template fingerprint information.

With reference to the first aspect, in a first possible implementation manner of the first aspect, the processor, where the processor saves the part of the first fingerprint information that does not overlap with the template fingerprint information, into the template fingerprint information, to form the new template fingerprint information, including: The processor splices the non-overlapping portions with the template fingerprint information to form new template fingerprint information.

In combination with the first aspect or the first possible implementation manner of the first aspect, in a second possible implementation manner of the first aspect, the processor determines whether the first fingerprint information and the stored template fingerprint information are The method includes: the processor determines whether the similarity between the first fingerprint information and the template fingerprint information is greater than a preset threshold; if greater, the processor determines that the first fingerprint information matches the stored template fingerprint information.

In conjunction with the first aspect, or the first possible implementation manner of the first aspect, in a third possible implementation manner of the first aspect, the processor determines the first fingerprint information and the stored reference fingerprint information If there is no match, the processor determines that the fingerprint recognition failed.

With reference to the first aspect or the first possible implementation manner of the first aspect, in a fourth possible implementation manner of the first aspect, if the processor determines that the first fingerprint information does not match the stored template fingerprint information, The processor acquires the second fingerprint information collected by the collector, where the first fingerprint information and the second fingerprint information are fingerprint information collected at different times during an acquisition process; the processor combines the second fingerprint information with the first fingerprint information to form a third Fingerprint information; the processor determines whether the third fingerprint information matches the template fingerprint information; if the third fingerprint information matches the template fingerprint information, the processor determines that the fingerprint identification is successful.

In a second aspect, an embodiment of the present invention provides a fingerprint identification apparatus, including:

a memory for storing template fingerprint information;

a collector for collecting fingerprint information of a user;

The processor is configured to obtain the first fingerprint information collected by the collector, determine whether the first fingerprint information matches the template fingerprint information, and if yes, determine that the fingerprint identification is successful, and the first fingerprint information does not overlap with the template fingerprint information. Partially saved to the template fingerprint information to form new template fingerprint information.

With reference to the second aspect, in a first possible implementation manner of the second aspect, the processor is specifically configured to splicing the non-overlapping portion with the template fingerprint information to form new template fingerprint information, and the new template fingerprint information Replace template fingerprint information.

With reference to the second aspect or the first possible implementation manner of the second aspect, in a second possible implementation manner of the second aspect, the processor is specifically configured to determine the similarity between the first fingerprint information and the template fingerprint information Whether it is greater than a preset threshold to determine whether the first fingerprint information matches the stored template fingerprint information. If greater, the processor determines that the first fingerprint information matches the stored template fingerprint information.

In conjunction with the second aspect or the first possible implementation of the second aspect, in a third possible implementation of the second aspect, the processor is further configured to: when the first fingerprint information and the stored reference fingerprint When the information does not match, it is determined that the fingerprint recognition failed.

With reference to the second aspect or the first possible implementation manner of the second aspect, in a fourth possible implementation manner of the second aspect, the processor is further configured to: when determining the first fingerprint information and the stored template fingerprint information If the data does not match, the second fingerprint information collected by the collector, the first fingerprint information, and the second fingerprint information are acquired. The information is fingerprint information collected at different times during the collection process, and then the second fingerprint information is combined with the first fingerprint information to form a third fingerprint information, and it is determined whether the third fingerprint information matches the template fingerprint information, and if it matches, the fingerprint is determined. The recognition was successful.

It can be seen from the above technical solutions that the solution of the embodiment of the present invention has the following beneficial effects:

In the embodiment of the present invention, the processor acquires the first fingerprint information collected by the collector, and determines whether the first fingerprint information matches the stored template fingerprint information. If the matching, the processor determines that the fingerprint identification is successful, and the first A portion of the fingerprint information that does not overlap with the template fingerprint information is saved into the template fingerprint information to form new template fingerprint information. Because the template fingerprint information will continue to be enriched as the number of fingerprint recognition increases, the effect of automatic learning can be achieved, so the rate of fingerprint recognition can be improved.

DRAWINGS

1 is a flow chart of a fingerprint identification method according to an embodiment of the present invention;

2 is a schematic diagram of fingerprint self-learning in a fingerprint identification process according to an embodiment of the present invention;

FIG. 3 is another flowchart of a fingerprint identification method according to an embodiment of the present invention; FIG.

4 is a schematic diagram of an embodiment of a fingerprint identification apparatus according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of an embodiment of a fingerprint identification apparatus according to an embodiment of the present invention; FIG.

FIG. 6 is a schematic structural diagram of hardware of a fingerprint identification apparatus according to an embodiment of the present invention.

detailed description

The embodiment of the invention provides a fingerprint identification method and device, which can improve the fingerprint recognition rate. The details are described below separately.

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is an embodiment of the invention, but not all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of the present invention.

The terms "first", "second", "third", "fourth", etc. (if present) in the specification and claims of the present invention and the above figures are used to distinguish similar objects without being used for Describe a specific order or order. It is to be understood that the data so used may be interchanged where appropriate so that the embodiments described herein can be implemented in a sequence other than what is illustrated or described herein. In addition, surgery The terms "including" and "having" and any variations thereof are intended to cover a non-exclusive inclusion. For example, a process, method, system, product, or device that comprises a series of steps or units is not necessarily limited to those steps that are clearly listed. Or units, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

In the embodiment of the present invention, the fingerprint identification method and device are introduced by taking fingerprint recognition on the mobile phone as an example, but it should be noted that the solution of the present invention can be applied to a fingerprint identification platform for different application requirements, and is used as a common technology basis. A wide range of products for different user needs.

In the existing mobile phone fingerprint identification technology, the fingerprint information is collected by using the sliding type and the pressing type. The present invention can be applied to the above two solutions in the embodiment of the present invention. For the sake of convenience, in the embodiment of the present invention, the pressing type is used. Description.

In the actual mobile phone fingerprint identification application, when the user turns on the fingerprint recognition function, the system will ask the user to enter one or more fingerprints as a template, and the system will store the fingerprints in the template database. The specific process of entering a template fingerprint can be:

According to the prompt of the system, the user performs fingerprint input by pressing a finger, and the fingerprint collector collects a fingerprint, and performs data processing on the fingerprint through a certain program, and processes the intuitive fingerprint into a certain format graphic or converts into a data graph (graphic or data map abbreviation For the data map), the graphic or data map formed by the fingerprint processing is stored in the template database as a fixed template fingerprint data map in the future.

After the fingerprint template data map is entered, the system matches the fingerprint collected by the fingerprint collector with the fingerprint in the template in the scenario where fingerprint recognition is required.

The fingerprint identification method in the embodiment of the present invention will be described in detail below with reference to FIG.

101. The processor acquires first fingerprint information collected by the collector.

When fingerprint recognition is required, for example, when the user performs fingerprint recognition by pressing the fingerprint sensor, the fingerprint sensor collects fingerprint information of the user, and the fingerprint information is referred to as first fingerprint information.

Here, fingerprint information is collected by the fingerprint sensor as a prior art, and will not be described in detail herein.

It should be noted that the first fingerprint information collected by the collector may cause image blurring because the finger is not placed stably. Therefore, multiple fingerprint images may be captured, the last fingerprint image may be used, or a clear image may be selected arbitrarily. The fingerprint image is used as the first fingerprint information, which is not limited in the present invention.

After the fingerprint collector collects the first fingerprint information, the processor acquires the first fingerprint information.

In practical applications, the processor processes the first fingerprint information and processes the intuitive fingerprint to form a data map.

102. The processor determines whether the first fingerprint information matches the stored template fingerprint information.

After obtaining the first fingerprint information, the processor compares the first fingerprint information with the template fingerprint information stored in the template database, and determines whether the first fingerprint information matches the template fingerprint information. If there are multiple template fingerprint information in the template database, the first fingerprint information is sequentially compared with the template fingerprint information.

103. The processor determines that the fingerprint identification is successful, and saves a portion of the first fingerprint information that does not overlap with the template fingerprint information to the template fingerprint information to form a new template fingerprint information.

If the first fingerprint information is successfully matched with one of the template fingerprint information, the processor confirms that the fingerprint identification is successful, and saves the portion of the first fingerprint information that does not overlap with the template fingerprint information to the template fingerprint information to form a new template fingerprint information. And replace the new template fingerprint information with the saved template fingerprint information in the template library.

The non-overlapping portion here may be a portion where the fingerprint image does not overlap, or may be a portion where the data portion in the fingerprint data map does not overlap.

As a specific implementation manner, the processor may save the part of the first fingerprint information that is not overlapped with the template fingerprint information into the template fingerprint information to form a new template fingerprint information, which may be: directly connecting the non-overlapping parts with Template fingerprint information is stitched to form new template fingerprint information.

As shown in FIG. 2, the part (A area) in the rectangular frame is template fingerprint information. When the user presses the fingerprint sensor, the first fingerprint information collected by the collector is an ellipse part (B area), and the A area and the B area do not overlap. The part is the b area, the processor directly splices the fingerprint image of the b area into the template fingerprint image to update the original template fingerprint image, or adds the fingerprint data map of the b area into the template fingerprint data map to update the original Fingerprint data.

As a specific implementation manner, the method for determining whether the first fingerprint information matches the stored template fingerprint information is: comparing the first fingerprint information with the template fingerprint information, and determining whether the similarity between the two is greater than If the threshold is greater, the first fingerprint information may be determined to match the stored template fingerprint information. For example, the similarity preset threshold is 70%, when the first fingerprint information and the template finger When the similarity of the texture information is 80%, it can be confirmed that the two fingerprints can be matched, and the fingerprint recognition is successful.

As a specific implementation manner, if the first fingerprint information does not match one of the template fingerprint information, the fingerprint recognition fails. At this point, the system can prompt the user for fingerprint recognition to fail, or continue with other operations.

In the process of fingerprint recognition, if the fingerprint recognition fails, the area pressed by the user's finger may deviate from the image area of the template fingerprint information. At this time, the system does not directly prompt the user to fail the fingerprint recognition, but will continue to collect the fingerprint information, in order to improve the recognition. The success rate combines the collected fingerprint information with the previously collected fingerprint information into one fingerprint information, and then uses the combined fingerprint information to compare with the template fingerprint information. The fingerprint identification method in the embodiment of the present invention will be described in detail below with reference to FIG. 3.

301. The processor acquires first fingerprint information collected by the collector.

302. The processor determines whether the first fingerprint information matches the stored template fingerprint information.

303. The processor determines that the fingerprint identification is successful, and saves the part of the first fingerprint information that does not overlap with the template fingerprint information to the template fingerprint information to form new template fingerprint information.

If the first fingerprint information is successfully matched with one of the template fingerprint information, the processor confirms that the fingerprint identification is successful, and saves the portion of the first fingerprint information that does not overlap with the template fingerprint information to the template fingerprint information to form a new template fingerprint information. .

The non-overlapping portion here may be a portion where the fingerprint image does not overlap, or may be a fingerprint data map. The data portion of the data does not overlap.

304. The processor acquires second fingerprint information collected by the collector.

If the first fingerprint information is not successfully matched with all the fingerprint information in the template library, the system does not confirm the fingerprint recognition failure, but continues to collect the fingerprint information, and refers to the second collected fingerprint information as the second. Fingerprint information.

It should be noted that the first fingerprint collection and the second fingerprint collection are fingerprints collected before the system fails to confirm the fingerprint recognition, that is, the fingerprint information collected at different times during a fingerprint collection process. Specifically, the following two application scenarios are as follows:

After the processor confirms that the first fingerprint information does not match the template fingerprint information, the processor determines whether the finger coverage area on the fingerprint sensor reaches a threshold that can be collected. In this embodiment, for convenience of description, the threshold is taken as four of the fingerprint sensor area. The third is to explain.

1. If the finger coverage area on the fingerprint sensor is greater than three-quarters of the area of the fingerprint sensor, the user's finger is still pressed on the fingerprint sensor, and effective fingerprint information can be obtained, so the fingerprint collector directly captures the image and performs an image. Identifying, thereby acquiring second fingerprint information;

2. If the fingerprint of the finger coverage area on the fingerprint sensor is less than three-quarters of the area of the fingerprint sensor and greater than 0, the user's finger is still pressed on the fingerprint sensor, or the process of lifting the finger is not effective. Fingerprint information, so the fingerprint sensor re-determines whether the finger coverage area on the sensor is greater than three-quarters;

3. If the finger coverage area fingerprint on the fingerprint sensor is equal to 0, it indicates that the user's finger has been lifted, then the fingerprint recognition system prompts the user to adjust the finger for the second press, and when the user presses the finger again, the second fingerprint information is collected.

After the collector collects the second fingerprint information, the processor may acquire the second fingerprint information.

305. The processor combines the second fingerprint information with the first fingerprint information to form third fingerprint information.

In order to improve the recognition rate, after acquiring the second fingerprint information, the processor combines the second fingerprint information with the previously collected first fingerprint information to form a relatively complete fingerprint information, and the fingerprint information is referred to as the first Three fingerprint information. Because the second fingerprint information is collected after the first fingerprint information is collected, when the finger overlay is not moved on the fingerprint sensor, or is collected during the movement of the finger on the fingerprint sensor, or is collected after the finger is pressed again, so The second fingerprint information collected in the two cases is different from the information obtained in the first fingerprint information. Therefore, the fingerprint information carried by the third fingerprint information formed after the combination is richer than the fingerprint information carried by the first fingerprint information or the second fingerprint information.

The specific manner of merging may be: saving a portion of the second fingerprint information that does not overlap with the first fingerprint information into the first fingerprint information to form third fingerprint information.

306. The processor determines whether the third fingerprint information matches the template fingerprint information.

After combining the first fingerprint information and the second fingerprint information to form the third fingerprint information, the processor determines whether the third fingerprint information matches the template fingerprint information, and the specific manner of determining the matching may be: the third fingerprint information and the template fingerprint The information is compared to determine whether the similarity between the two is greater than a preset threshold. If greater than, the third fingerprint information may be determined to match the stored template fingerprint information. For example, if the similarity preset threshold is 70%, if the similarity between the first fingerprint information and the template fingerprint information is 80%, it can be confirmed that the two fingerprints can be matched, if the similarity is less than 70%, for example, 60%. , you can confirm that the two fingerprints do not match.

307. The processor determines that fingerprint identification is successful.

If the processor confirms that the third fingerprint information and the template fingerprint information can match, the fingerprint identification is successful, and the identity information of the user can be successfully verified to complete the corresponding application service.

If the processor confirms that the third fingerprint information does not match the template fingerprint information, the fingerprint recognition fails, and the fingerprint identification fails to verify the identity information of the user.

It should be noted that, if the third fingerprint information does not match the template fingerprint information, the system may continue to repeat the steps 304 to 306, collect the fourth fingerprint information, and combine the fourth fingerprint information with the third fingerprint information to form the fifth fingerprint information. Then, the fifth fingerprint information is matched with the template fingerprint information. If the matching is successful, the fingerprint identification succeeds. If the matching is unsuccessful, the steps 304 to 306 are continued until the fingerprint recognition is successful.

For security reasons, the number of times the fingerprints are repeatedly collected may not be set to exceed a predetermined threshold (for example, three times). If the predetermined threshold is exceeded, it is determined that the recognition fails, and the user is prompted to fail fingerprint identification.

In addition, each time the collected fingerprint information is temporary information, it needs to be saved in a specific storage (for example, in a cache), and when the identification is successful or the identification fails, the temporarily stored collection information in the specific storage is cleared.

In the embodiment of the present invention, when the fingerprint recognition fails, the fingerprint information collected at different times in one acquisition process may be superimposed, and then matched with the template fingerprint information, thereby improving the fingerprint recognition rate.

The above is a description of the fingerprint identification method in the embodiment of the present invention. The fingerprint identification device in the embodiment of the present invention is introduced from the perspective of the modular structure.

With reference to FIG. 4, an embodiment of the present invention provides a fingerprint identification apparatus 4, including:

a memory 401, configured to store template fingerprint information;

The collector 402 is configured to collect fingerprint information of the user;

The processor 403 is configured to acquire first fingerprint information collected by the collector, determine whether the first fingerprint information matches the template fingerprint information, and if yes, determine that the fingerprint identification is successful, and the first fingerprint information does not overlap with the template fingerprint information. The portion is saved to the template fingerprint information to form a new template fingerprint information.

For the interaction process between the units of the fingerprint identification device 4 in the embodiment of the present invention, refer to the interaction process in the foregoing embodiment shown in FIG. 1 , and details are not described herein again.

In the embodiment of the present invention, the processor 403 obtains the first fingerprint information collected by the collector 402, and determines whether the first fingerprint information matches the template fingerprint information stored in the memory 401. If the matching, the processor 403 determines the fingerprint identification. Successfully, the portion of the first fingerprint information that does not overlap with the template fingerprint information is saved into the template fingerprint information to form new template fingerprint information. Because the template fingerprint information will continue to be enriched as the number of fingerprint recognition increases, the effect of automatic learning can be achieved, so the rate of fingerprint recognition can be improved.

Further, as another embodiment, the processor 403 is specifically configured to splicing the non-overlapping portions with the template fingerprint information to form new template fingerprint information, and replacing the new template fingerprint information with the template fingerprint information.

Further, as another embodiment, the processor 403 is configured to determine whether the first fingerprint information matches the stored template fingerprint information by determining whether the similarity between the first fingerprint information and the template fingerprint information is greater than a preset threshold. If it is greater than, the processor determines that the first fingerprint information matches the stored template fingerprint information.

Further, as another embodiment, the processor 403 is further configured to determine that the fingerprint identification fails when the first fingerprint information does not match the stored reference fingerprint information.

With reference to FIG. 5, an embodiment of the present invention provides a fingerprint identification apparatus 5, including:

a memory 501, configured to store template fingerprint information;

The collector 502 is configured to collect fingerprint information of the user.

The processor 503 is configured to obtain the first fingerprint information collected by the collector, determine whether the first fingerprint information matches the template fingerprint information, and if yes, determine that the fingerprint identification is successful, and the first fingerprint information does not overlap with the template fingerprint information. The portion is saved to the template fingerprint information to form a new template fingerprint information.

The processor 503 is further configured to: when determining that the first fingerprint information does not match the stored template fingerprint information, acquire the second fingerprint information collected by the collector, where the first fingerprint information and the second fingerprint information are different times in a single acquisition process. The collected fingerprint information is combined with the first fingerprint information to form a third fingerprint information, and it is determined whether the third fingerprint information matches the template fingerprint information. If it matches, it is determined that the fingerprint recognition is successful.

For the interaction process between the units of the fingerprint identification device 5 in the embodiment of the present invention, refer to the interaction process in the foregoing embodiment shown in FIG. 3, and details are not described herein again.

In the embodiment of the present invention, when the fingerprint recognition fails, the processor 503 may superimpose the fingerprint information collected at different times in one acquisition process, and then match the template fingerprint information, thereby improving the fingerprint recognition rate.

The above is a description of the fingerprint recognition device from the perspective of functional modularity. The fingerprint recognition device in the embodiment of the present invention is introduced from the perspective of hardware processing.

FIG. 6 is a schematic structural diagram of a fingerprint identification apparatus 6 according to an embodiment of the present invention. Fingerprint identification device 6 may include at least one network interface or other communication interface, at least one input device 601, at least one output device 602, at least one processor 603, and memory 604 to enable connection communication between the devices through at least one network The interface (which may be wired or wireless) implements a communication connection between the system gateway and at least one other network element.

The memory 604 can include read-only memory and random access memory, and provides instructions and data to the processor 603. A portion of the memory 604 can also include, possibly including, a high-speed random access memory (RAM), and possibly a non- Un-volatile memory.

The memory 604 stores the following elements, executable modules or data structures, or a subset thereof, or an extended set thereof:

Operation instructions: include various operation instructions for implementing various operations.

Operating system: Includes a variety of system programs for implementing various basic services and handling hardware-based tasks.

In the embodiment of the present invention, the processor 603 performs the following operations by calling an operation instruction stored in the memory 604 (the operation instruction can be stored in the operating system):

Acquiring the first fingerprint information obtained by the input device 601; determining the first fingerprint information and the memory 604 Whether the template fingerprint information stored in the template matches; when the judging unit judges that the first fingerprint information matches the template fingerprint information, it is determined that the fingerprint identification is successful, and then the portion of the first fingerprint information that does not overlap with the template fingerprint information is saved to the template fingerprint information. To form new template fingerprint information.

In some embodiments, the processor 603 may further perform the following steps:

The non-overlapping portions are spliced with the template fingerprint information to form new template fingerprint information, and the new template fingerprint information is replaced with the template fingerprint information stored in the memory 604.

In some embodiments, the processor 603 may further perform the following steps:

And determining whether the similarity between the first fingerprint information and the template fingerprint information is greater than a preset threshold; when the similarity between the first fingerprint information and the template fingerprint information is greater than a preset threshold, determining that the first fingerprint information matches the stored template fingerprint information.

In some embodiments, the processor 603 may further perform the following steps:

When the first fingerprint information does not match the stored reference fingerprint information, it is determined that the fingerprint recognition fails.

In some embodiments, the processor 603 may further perform the following steps:

When the first fingerprint information does not match the stored template fingerprint information, the second fingerprint information obtained by the input device 601 is acquired, and the first fingerprint information and the second fingerprint information are fingerprint information collected at different times during a collection process; And combining the second fingerprint information with the first fingerprint information to form the third fingerprint information; determining whether the third fingerprint information matches the template fingerprint information; if the matching, determining that the fingerprint identification is successful.

A person skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the system, the device and the unit described above can refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.

In the several embodiments provided by the present application, it should be understood that the disclosed system, apparatus, and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.

The units described as separate components may or may not be physically separated as The components displayed by the unit may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium. A number of instructions are included to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .

The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to be limiting; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that The technical solutions described in the embodiments are modified, or the equivalents of the technical features are replaced by the equivalents of the technical solutions of the embodiments of the present invention.

Claims

A method for fingerprint identification, comprising:

The processor acquires first fingerprint information collected by the collector;

The processor determines whether the first fingerprint information matches the stored template fingerprint information;

If the matching is successful, the processor determines that the fingerprint identification is successful, and saves a portion of the first fingerprint information that does not overlap with the template fingerprint information to the template fingerprint information to form new template fingerprint information.
The method according to claim 1, wherein the processor saves a portion of the first fingerprint information that does not overlap with the template fingerprint information into the template fingerprint information to form a new template fingerprint information. include:

The processor splices the non-overlapping portions with the template fingerprint information to form new template fingerprint information, and replaces the new template fingerprint information with the template fingerprint information.
The method according to claim 1 or 2, wherein the determining whether the first fingerprint information matches the stored template fingerprint information comprises:

The processor determines whether the similarity between the first fingerprint information and the template fingerprint information is greater than a preset threshold;

If greater than, the processor determines that the first fingerprint information matches the stored template fingerprint information.
The method according to claim 1 or 2, wherein the method further comprises:

If the processor determines that the first fingerprint information does not match the stored reference fingerprint information, the processor determines that the fingerprint recognition has failed.
The method according to claim 1 or 2, wherein the method further comprises:

If the processor determines that the first fingerprint information does not match the stored template fingerprint information, the processor acquires second fingerprint information collected by the collector, the first fingerprint information and the second Fingerprint information is fingerprint information collected at different times during an acquisition process;

The processor combines the second fingerprint information with the first fingerprint information to form third fingerprint information;

The processor determines whether the third fingerprint information matches the template fingerprint information;

If the third fingerprint information matches the template fingerprint information, the processor determines that the fingerprint identification is successful.
A fingerprint identification device, comprising:

a memory for storing template fingerprint information;

a collector for collecting fingerprint information of a user;

a processor, configured to acquire first fingerprint information collected by the collector, determine whether the first fingerprint information matches the template fingerprint information, and if yes, determine that fingerprint identification is successful, and the first fingerprint information is A portion of the template fingerprint information that is not overlapped with the template fingerprint information is saved into the template fingerprint information to form new template fingerprint information.
A fingerprint recognition device according to claim 6, wherein:

The processor is specifically configured to splicing the non-overlapping portions with the template fingerprint information to form new template fingerprint information, and replacing the new template fingerprint information with the template fingerprint information.
A fingerprint recognition device according to claim 6 or 7, wherein:

The processor is configured to determine whether the first fingerprint information matches the stored template fingerprint information by determining whether the similarity between the first fingerprint information and the template fingerprint information is greater than a preset threshold. And the processor determines that the first fingerprint information matches the stored template fingerprint information.
A fingerprint recognition device according to claim 6 or 7, wherein:

The processor is further configured to determine that the fingerprint identification fails when the first fingerprint information does not match the stored reference fingerprint information.
A fingerprint recognition device according to claim 6 or 7, wherein:

The processor is further configured to: when determining that the first fingerprint information does not match the stored template fingerprint information, acquire second fingerprint information collected by the collector, the first fingerprint information and the second The fingerprint information is fingerprint information collected at different times during an acquisition process, and the second fingerprint information is combined with the first fingerprint information to form third fingerprint information, and the third fingerprint information and the template fingerprint information are determined. Whether it matches, if it matches, it determines that the fingerprint recognition is successful.