CN106096539B - A kind of method and terminal for carrying out bio-identification - Google Patents

Abstract

The embodiment of the present invention discloses a biometric identification method and terminal. The method includes: configuring different matching thresholds for different application scenarios, wherein the matching threshold is used to characterize the matching degree of biometric identification, and each matching The threshold corresponds to a false rejection rate and a false recognition rate; identify the current application scenario where the terminal is located; determine the currently used matching threshold according to the current application scenario; call the false rejection rate and false recognition corresponding to the currently used matching threshold rate for biometric identification. By adopting the present invention, the applicability of the terminal can be improved, and user requirements in different application scenarios can be met.

Description

A method and terminal for biometric identification

technical field

The present invention relates to the technical field of terminals, in particular to a biometric identification method and a terminal.

Background technique

With the rapid development of terminal technology, biometric technologies such as fingerprint recognition and iris recognition are increasingly being applied to terminals. It can help the terminal realize functions such as unlocking, waking up, encrypting or paying. It can not only bring convenience to users, but also guarantee certain security. In biometric technology such as fingerprint recognition technology, users usually need to register and record the registered fingerprint on the terminal, and then when using fingerprint recognition, the terminal can collect the current user's login fingerprint and the recorded registered fingerprint to match, if the matching degree reaches the set If the matching threshold is set, it means that the matching is successful and the fingerprint verification is successful. If the matching degree does not reach the set matching threshold, it means that the matching fails and the fingerprint verification fails. Among them, False Rejection Rate (FRR) can be commonly understood as the probability of "taking fingerprints that should be successfully matched with each other as fingerprints that cannot be matched". The larger the FRR, the user needs to perform fingerprint verification multiple times, resulting in poor user experience. The False Acceptance Rate (FAR) can be commonly understood as the probability of "taking a fingerprint that should not match as a matching fingerprint". The false recognition rate refers to the error probability that different fingerprints are mistaken for the same fingerprint and accepted. It is an index to measure the security of the fingerprint module. The smaller the value, the better, and the requirements are generally at the level of one ten-thousandth. It can be seen from the above that FRR is an indicator that affects user experience, and FAR is an indicator that affects fingerprint security. In principle, they are contradictory, and the two are inversely related. The larger the FRR, the smaller the FAR, and the smaller the FRR, the FAR Just big. The process of iris recognition is similar and will not be repeated here

In the existing technology, once the debugging of FRR and FAR by terminal manufacturers is completed, it is basically relatively fixed or fluctuates very little, while the application of biometric passwords is becoming more and more extensive, such as terminal screen unlocking, application unlocking, file encryption and unlocking, mobile payment Wait, fixed FRR and FAR cannot meet the needs of different application scenarios.

Contents of the invention

The technical problem to be solved by the embodiments of the present invention is to provide a biometric identification method and a terminal to solve the problem that the terminal cannot meet the requirements of different application scenarios when the terminal uses fixed FRR and FAR.

In order to solve the above technical problems, the first aspect of the embodiment of the present invention provides a biometric identification method, including:

Different matching thresholds are configured for different application scenarios, wherein the matching threshold is used to characterize the matching degree of biometric identification, and each matching threshold corresponds to a false rejection rate and a false recognition rate;

Identify the current application scenario where the terminal is located;

determining the currently used matching threshold according to the current application scenario;

Call the false rejection rate and the false acceptance rate corresponding to the currently used matching threshold for biometric identification.

Wherein, the application scenarios include terminal screen unlocking, application unlocking, file encryption unlocking and mobile payment.

Wherein, the rejection rate of the terminal screen unlocking is lower than the rejection rate of the mobile payment, and the verification rate of the terminal screen unlocking is higher than the verification rate of the mobile payment.

Among them, the rejection rate and the false recognition rate are adjusted by the number of biometric features compared in the biometric identification process.

Wherein, the biometric identification includes fingerprint identification, iris identification or face identification.

Correspondingly, the second aspect of the embodiment of the present invention also provides a terminal, including:

The configuration unit is configured to configure different matching thresholds for different application scenarios, wherein the matching threshold is used to characterize the matching degree of biometric identification, and each matching threshold corresponds to a false rejection rate and a false recognition rate;

an identification unit, configured to identify the current application scenario where the terminal is located;

A determining unit, configured to determine the currently used matching threshold according to the current application scenario;

The calling unit is used to call the rejection rate and the false acceptance rate corresponding to the currently used matching threshold for biometric identification.

Wherein, the application scenarios include terminal screen unlocking, application unlocking, file encryption unlocking and mobile payment.

Wherein, the rejection rate of the terminal screen unlocking is lower than the rejection rate of the mobile payment, and the verification rate of the terminal screen unlocking is higher than the verification rate of the mobile payment.

Among them, the rejection rate and the false recognition rate are adjusted by the number of biometric features compared in the biometric identification process.

Wherein, the biometric identification includes fingerprint identification, iris identification or face identification.

The third aspect of the embodiment of the present invention also provides a terminal, including:

Processor, memory, interface circuit, biometric module, display screen and bus;

The processor, memory, interface circuit, biometric module and display screen are connected through the bus and communicate with each other, wherein the biometric module is used to record the user's registered biometric password and collect the user's login Biometric codes are matched, the display screen is used for human-computer interaction, the memory is used to store a set of program codes, and the processor is used to call the program codes stored in the memory to perform the following operations:

Different matching thresholds are configured for different application scenarios, wherein the matching threshold is used to characterize the matching degree of biometric identification, and each matching threshold corresponds to a false rejection rate and a false recognition rate;

Identify the current application scenario where the terminal is located;

determining the currently used matching threshold according to the current application scenario;

Call the false rejection rate and the false acceptance rate corresponding to the currently used matching threshold for biometric identification.

Wherein, the application scenarios include terminal screen unlocking, application unlocking, file encryption unlocking and mobile payment.

Wherein, the rejection rate of the terminal screen unlocking is lower than the rejection rate of the mobile payment, and the verification rate of the terminal screen unlocking is higher than the verification rate of the mobile payment.

Among them, the rejection rate and the false recognition rate are adjusted by the number of biometric features compared in the biometric identification process.

Wherein, the biometric identification includes fingerprint identification, iris identification or face identification.

Implementing the embodiment of the present invention has the following beneficial effects:

By configuring different matching thresholds for different application scenarios, and then when used in different scenarios, the terminal identifies the current application scenario; determines the currently used matching threshold according to the current application scenario; and then calls the currently used The true rejection rate and false acceptance rate corresponding to the matching threshold are used for biometric identification. In this way, for different application scenarios, biometric identification can be performed with different rejection rates and false acceptance rates, which can meet the diverse needs of users. In different scenarios, the speed or security of biometric identification can be improved, and the security of the terminal is improved. Applicability can provide users with a good experience.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

FIG. 1 is a schematic flowchart of a first embodiment of a method for biometric identification provided by the present invention;

Fig. 2 is a schematic flowchart of a second embodiment of a method for biometric identification provided by the present invention;

FIG. 3 is a schematic composition diagram of a first embodiment of a terminal provided by the present invention;

Fig. 4 is a schematic composition diagram of a second embodiment of a terminal provided by the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

The terminal in the embodiment of the present invention may include smart phones (such as Android mobile phones, iOS mobile phones, WindowsPhone mobile phones, etc.), tablet computers, palmtop computers, notebook computers, mobile Internet devices (MID, Mobile InternetDevices) or wearable devices, etc., which have The biometric module supports biometric technology. The above-mentioned terminals are only examples, not exhaustive, including but not limited to the above-mentioned terminals.

The terms "first", "second" and "third" in the specification and claims of the present invention and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally further includes For other steps or units inherent in these processes, methods, products or apparatuses.

Please refer to Fig. 1, which is a schematic flow chart of the first embodiment of a biometric identification method provided by the present invention. In this embodiment, the method includes the following steps:

S101. Configure different matching thresholds for different application scenarios.

Wherein, the matching threshold is used to characterize the matching degree of biometric identification, and each matching threshold corresponds to a false rejection rate and a false recognition rate.

The application scenarios may include, but are not limited to, terminal screen unlocking, application unlocking, file encryption unlocking, mobile payment, and the like. Any other application or scenario involving biometric technology can adopt the method described in the embodiment of the present invention.

The biometric identification may include but not limited to fingerprint identification, iris identification or face identification.

For example, when the user unlocks the normal terminal screen, he usually hopes that the unlocking success rate is as high as possible, that is, the FRR is as low as possible, and the resulting increase in FAR is not very concerned by the user;

On the contrary, when the user performs the mobile payment function, the user pays more attention to security at this time, that is, the lower the FAR, the better, and the resulting increase in the FAR is not very concerned by the user.

Therefore, different matching thresholds can be set for different application scenarios. The matching threshold has a mapping relationship with the rejection rate and the false acceptance rate. By adjusting the matching threshold, the effect of adjusting the rejection rate and the false acceptance rate can be achieved.

The false rejection rate and false recognition rate can be adjusted by the number of biometric features compared in the biometric identification process. In the process of biometric identification, for the comparison of biometric features, a progressive comparison mode of biometric features from large features to small features to detailed features is generally adopted. The more features compared, the higher the FRR, the lower the FAR, and the higher the matching threshold. The probability of a successful match is smaller. The fewer features to compare, the lower the FRR, the higher the FAR, the lower the matching threshold, and the higher the probability of successful matching.

S102. Identify the current application scenario where the terminal is located.

Since the corresponding relationship between the application scenario, the matching threshold, the rejection rate and the false acceptance rate is configured, when the terminal performs biometric identification, it can determine the final rejection rate and false identification rate by identifying the current application scenario where the terminal is located. False rate.

As for the specific identification process, the terminal can make a judgment according to the content of the screen currently displayed on the screen. For example, when unlocking with a black screen, the black screen of the terminal has no content; when unlocking with a bright screen, the terminal will display the lock screen interface; File unlocking interface; when the mobile phone supports it, the terminal will display the payment interface and prompt the user to enter the biometric password. Of course, the terminal may call the underlying data to identify the current application scene later, which is not limited in this embodiment of the present invention.

S103. Determine a currently used matching threshold according to the current application scenario.

After the current application scenario is successfully identified, the terminal can determine which matching threshold to use according to the correspondence between the application scenario and the matching threshold. For example, the terminal recognizes the current application scenario of unlocking the terminal screen. In this scenario, the user pursues the efficiency of successful unlocking. Therefore, a lower matching threshold can be determined to be used. In this way, biometric identification will be easier to successfully match, so that unlock. If the terminal recognizes that the current application scenario is mobile payment, in this scenario, the user pursues the security of funds, so a higher matching threshold can be determined to be used, so that there are more features for biometric comparison, although it is not easy Successful matching, but can improve the safety of funds.

S104, call the false rejection rate and the false recognition rate corresponding to the currently used matching threshold to perform biometric identification.

When the matching threshold is determined, its corresponding rejection rate and false acceptance rate are also determined, and the terminal can call its value at this time for biometric identification.

In this embodiment, by configuring different matching thresholds for different application scenarios, and then when used in different scenarios, the terminal identifies the current application scenario; determine the currently used matching threshold according to the current application scenario; and then Call the false rejection rate and the false acceptance rate corresponding to the currently used matching threshold for biometric identification. In this way, for different application scenarios, biometric identification can be performed with different rejection rates and false acceptance rates, which can meet the diverse needs of users. In different scenarios, the speed or security of biometric identification can be improved, and the security of the terminal is improved. Applicability can provide users with a good experience.

Please refer to FIG. 2 , which is a schematic flowchart of a second embodiment of a biometric identification method provided by the present invention. In this embodiment, the method includes the following steps:

S201. Configure different matching thresholds for different application scenarios.

Wherein, the matching threshold is used to characterize the matching degree of biometric identification, and each matching threshold corresponds to a false rejection rate and a false recognition rate.

The application scenarios may include, but are not limited to, terminal screen unlocking, application unlocking, file encryption unlocking, mobile payment, and the like.

The biometric identification may include but not limited to fingerprint identification, iris identification or face identification.

For example, when the user unlocks the normal terminal screen, he usually hopes that the unlocking success rate is as high as possible, that is, the FRR is as low as possible, and the resulting increase in FAR is not very concerned by the user;

On the contrary, when the user performs the mobile payment function, the user pays more attention to security at this time, that is, the lower the FAR, the better, and the resulting increase in the FAR is not very concerned by the user.

Therefore, different matching thresholds can be set for different application scenarios. The matching threshold has a mapping relationship with the rejection rate and the false acceptance rate. By adjusting the matching threshold, the effect of adjusting the rejection rate and the false acceptance rate can be achieved.

The false rejection rate and false recognition rate can be adjusted by the number of biometric features compared in the biometric identification process. In the process of biometric identification, for the comparison of biometric features, a progressive comparison mode of biometric features from large features to small features to detailed features is generally adopted. The more features compared, the higher the FRR, the lower the FAR, and the higher the matching threshold. The probability of a successful match is smaller. The fewer features to compare, the lower the FRR, the higher the FAR, the lower the matching threshold, and the higher the probability of successful matching.

S202. Identify the current application scenario where the terminal is located.

Since the corresponding relationship between the application scenario, the matching threshold, the rejection rate and the false acceptance rate is configured, when the terminal performs biometric identification, it can determine the final rejection rate and false identification rate by identifying the current application scenario where the terminal is located. False rate.

As for the specific identification process, the terminal can make a judgment according to the content of the screen currently displayed on the screen. For example, when unlocking with a black screen, the black screen of the terminal has no content; when unlocking with a bright screen, the terminal will display the lock screen interface; File unlocking interface; when the mobile phone supports it, the terminal will display the payment interface and prompt the user to enter the biometric password. Of course, the terminal may call the underlying data to identify the current application scene later, which is not limited in this embodiment of the present invention.

S203. Determine a currently used matching threshold according to the current application scenario.

After the current application scenario is successfully identified, the terminal can determine which matching threshold to use according to the correspondence between the application scenario and the matching threshold. For example, the terminal recognizes the current application scenario of unlocking the terminal screen. In this scenario, the user pursues the efficiency of successful unlocking. Therefore, a lower matching threshold can be determined to be used. In this way, biometric identification will be easier to successfully match, so that unlock. If the terminal recognizes that the current application scenario is mobile payment, in this scenario, the user pursues the security of funds, so a higher matching threshold can be determined to be used, so that there are more features for biometric comparison, although it is not easy Successful matching, but can improve the safety of funds.

S204. If the current application scenario is terminal screen unlocking, start the first false rejection rate and the first false recognition rate to unlock the fingerprint.

For example, the first false rejection rate may be 0.3%, while the first false recognition rate is 1/10,000. In this way, the unlocking success rate is very high and the unlocking speed is very fast.

S205. If the current application scenario is application unlocking, start the second true rejection rate and the second false acceptance rate to perform fingerprint unlocking.

For example, the second false rejection rate may be 2%, while the second false acceptance rate is 1/100,000.

S206, if the current application scenario is file encryption and unlocking, start the third false positive rate and the third false positive rate to unlock the fingerprint.

For example, the third true rejection rate may be 1%, while the third false acceptance rate is 1/50,000.

For the application scenarios of application unlocking and file encryption and unlocking, the appropriate rejection rate and false acceptance rate can be configured according to the importance and privacy of the application and files. The values in the embodiments of the present invention are only for illustration. Sorting does not have any constraints.

S207. If the current application scenario is mobile payment, start the fourth true rejection rate and the fourth false acceptance rate to unlock the fingerprint.

For example, the fourth false rejection rate may be 3%, while the third false acceptance rate is 1/500,000. In this way, the security of mobile payment can be greatly improved.

For the scenario of terminal screen unlocking and mobile payment, the rejection rate of the terminal screen unlocking is lower than the rejection rate of the mobile payment, and the false recognition rate of the terminal screen unlocking is higher than the false recognition rate of the mobile payment . Of course, in the four scenarios, usually the scenario with the lowest rejection rate and the highest false recognition rate is the terminal screen unlocking scenario, and the scenario with the highest rejection rate and the lowest false recognition rate is the mobile payment scenario.

In this embodiment, the settings of the possible false rejection rate and false acceptance rate in four scenarios are described in detail, and the intelligence of the terminal is improved by setting a more appropriate rejection rate and false acceptance rate for different application scenarios , which can bring a good experience to users.

Please refer to FIG. 3 , which is a schematic composition diagram of a first embodiment of a terminal provided by an embodiment of the present invention. In this embodiment, the terminal includes:

The configuration unit 100 is configured to configure different matching thresholds for different application scenarios, wherein the matching threshold is used to characterize the matching degree of biometric identification, and each matching threshold corresponds to a false rejection rate and a false recognition rate;

Wherein, the matching threshold is used to characterize the matching degree of biometric identification, and each matching threshold corresponds to a false rejection rate and a false recognition rate.

The application scenarios may include, but are not limited to, terminal screen unlocking, application unlocking, file encryption unlocking, mobile payment, and the like. Any other application or scenario involving biometric technology can adopt the method described in the embodiment of the present invention.

The biometric identification may include but not limited to fingerprint identification, iris identification or face identification.

For example, when the user unlocks the normal terminal screen, he usually hopes that the unlocking success rate is as high as possible, that is, the FRR is as low as possible, and the resulting increase in FAR is not very concerned by the user;

On the contrary, when the user performs the mobile payment function, the user pays more attention to security at this time, that is, the lower the FAR, the better, and the resulting increase in the FAR is not very concerned by the user.

Therefore, different matching thresholds can be set for different application scenarios. The matching threshold has a mapping relationship with the rejection rate and the false acceptance rate. By adjusting the matching threshold, the effect of adjusting the rejection rate and the false acceptance rate can be achieved.

The false rejection rate and false recognition rate can be adjusted by the number of biometric features compared in the biometric identification process. In the process of biometric identification, for the comparison of biometric features, a progressive comparison mode of biometric features from large features to small features to detailed features is generally adopted. The more features compared, the higher the FRR, the lower the FAR, and the higher the matching threshold. The probability of a successful match is smaller. The fewer features to compare, the lower the FRR, the higher the FAR, the lower the matching threshold, and the higher the probability of successful matching.

An identification unit 200, configured to identify the current application scenario where the terminal is located;

Since the corresponding relationship between the application scenario, the matching threshold, the rejection rate and the false acceptance rate is configured, when the terminal performs biometric identification, it can determine the final rejection rate and false identification rate by identifying the current application scenario where the terminal is located. False rate.

As for the specific identification process, the terminal can make a judgment according to the content of the screen currently displayed on the screen. For example, when unlocking with a black screen, the black screen of the terminal has no content; when unlocking with a bright screen, the terminal will display the lock screen interface; File unlocking interface; when the mobile phone supports it, the terminal will display the payment interface and prompt the user to enter the biometric password. Of course, the terminal may call the underlying data to identify the current application scene later, which is not limited in this embodiment of the present invention.

A determining unit 300, configured to determine the currently used matching threshold according to the current application scenario;

After the current application scenario is successfully identified, the terminal can determine which matching threshold to use according to the correspondence between the application scenario and the matching threshold. For example, the terminal recognizes the current application scenario of unlocking the terminal screen. In this scenario, the user pursues the efficiency of successful unlocking. Therefore, a lower matching threshold can be determined to be used. In this way, biometric identification will be easier to successfully match, so that unlock. If the terminal recognizes that the current application scenario is mobile payment, in this scenario, the user pursues the security of funds, so a higher matching threshold can be determined to be used, so that there are more features for biometric comparison, although it is not easy Successful matching, but can improve the safety of funds.

The calling unit 400 is configured to call the rejection rate and the false acceptance rate corresponding to the currently used matching threshold for biometric identification.

When the matching threshold is determined, its corresponding rejection rate and false acceptance rate are also determined, and the terminal can call its value at this time for biometric identification.

If the current application scenario is unlocking the terminal screen, start the first false rejection rate and the first false recognition rate to unlock the fingerprint.

For example, the first false rejection rate may be 0.3%, while the first false recognition rate is 1/10,000. In this way, the unlocking success rate is very high and the unlocking speed is very fast.

If the current application scenario is application unlocking, start the second false rejection rate and the second false acceptance rate to unlock the fingerprint.

For example, the second false rejection rate may be 2%, while the second false acceptance rate is 1/100,000.

If the current application scenario is file encryption and unlocking, start the third rejection rate and the third false acceptance rate for fingerprint unlocking.

For example, the third true rejection rate may be 1%, while the third false acceptance rate is 1/50,000.

For the application scenarios of application unlocking and file encryption and unlocking, the appropriate rejection rate and false acceptance rate can be configured according to the importance and privacy of the application and files. The values in the embodiments of the present invention are only for illustration. Sorting does not have any constraints.

If the current application scenario is mobile payment, the fourth rejection rate and the fourth false acceptance rate are activated for fingerprint unlocking.

For example, the fourth false rejection rate may be 3%, while the third false acceptance rate is 1/500,000. In this way, the security of mobile payment can be greatly improved.

For the scenario of terminal screen unlocking and mobile payment, the rejection rate of the terminal screen unlocking is lower than the rejection rate of the mobile payment, and the false recognition rate of the terminal screen unlocking is higher than the false recognition rate of the mobile payment . Of course, in the four scenarios, usually the scenario with the lowest rejection rate and the highest false recognition rate is the terminal screen unlocking scenario, and the scenario with the highest rejection rate and the lowest false recognition rate is the mobile payment scenario.

In this embodiment, by configuring different matching thresholds for different application scenarios, and then when used in different scenarios, the terminal identifies the current application scenario; determine the currently used matching threshold according to the current application scenario; and then Call the false rejection rate and the false acceptance rate corresponding to the currently used matching threshold for biometric identification. In this way, for different application scenarios, biometric identification can be performed with different rejection rates and false acceptance rates, which can meet the diverse needs of users. In different scenarios, the speed or security of biometric identification can be improved, and the security of the terminal is improved. Applicability can provide users with a good experience.

The above configuration unit 100, identification unit 200, determination unit 300 and calling unit 400 can exist independently or can be integrated. The configuration unit 100, identification unit 200, determining unit 300 or calling unit 400 can be independent of terminal processing in the form of hardware The device is set separately, and the setting form can be in the form of a microprocessor; it can also be embedded in the terminal processor in the form of hardware, and can also be stored in the memory of the terminal in the form of software, so that the processor of the terminal The operations corresponding to the configuration unit 100 , the identification unit 200 , the determination unit 300 and the calling unit 400 are executed by calling.

For example, in the first embodiment of the terminal of the present invention (the embodiment shown in FIG. 3 ), the configuration unit 100 can be the processor of the terminal, and the functions of the identification unit 200, the determination unit 300 and the calling unit 400 can be embedded In the processor, it can also be set independently from the processor, or can be stored in the memory in the form of software, and be called by the processor to realize its functions. The embodiment of the present invention does not make any limitation. The above processor may be a central processing unit (CPU), a microprocessor, a single-chip microcomputer, and the like.

Please refer to FIG. 4, which is a schematic composition diagram of a second embodiment of a terminal provided by an embodiment of the present invention. In this embodiment, the terminal includes:

Processor 110, memory 120, interface circuit 130, biometric module 140, display screen 150 and bus 160;

The processor 110, memory 120, interface circuit 130, biometric identification module 140 (which may include but not limited to fingerprint identification module, iris identification module or face identification module) and display screen 150 are connected through the bus 160 And complete mutual communication, wherein, the biometric module 140 is used to record the user's registration biometric password and collect the user's login biometric password for matching, the display screen 150 is used for human-computer interaction, and the memory 120 is used for To store a set of program codes, the processor 110 is used to call the program codes stored in the memory to perform the following operations:

Different matching thresholds are configured for different application scenarios, wherein the matching threshold is used to characterize the matching degree of biometric identification, and each matching threshold corresponds to a false rejection rate and a false recognition rate;

Identify the current application scenario where the terminal is located;

determining the currently used matching threshold according to the current application scenario;

Call the false rejection rate and the false acceptance rate corresponding to the currently used matching threshold for biometric identification.

Optionally, the application scenarios include terminal screen unlocking, application unlocking, file encryption unlocking and mobile payment.

Optionally, the false rejection rate of the terminal screen unlocking is lower than the false rejection rate of the mobile payment, and the false confirmation rate of the terminal screen unlocking is higher than the false confirmation rate of the mobile payment.

Optionally, the rejection rate and the false acceptance rate are adjusted by the number of biometrics compared during the biometric identification process.

Optionally, the biometric identification includes fingerprint identification, iris identification or face identification.

An embodiment of the present invention also provides a computer storage medium, wherein the computer storage medium can store a program, and when the program is executed, some or all steps of any step counting method described in the above method embodiments are included.

Through the description of the foregoing embodiments, the present invention has the following advantages:

By configuring different matching thresholds for different application scenarios, and then when used in different scenarios, the terminal identifies the current application scenario; determines the currently used matching threshold according to the current application scenario; and then calls the currently used The true rejection rate and false acceptance rate corresponding to the matching threshold are used for biometric identification. In this way, for different application scenarios, biometric identification can be performed with different rejection rates and false acceptance rates, which can meet the diverse needs of users. In different scenarios, the speed or security of biometric identification can be improved, and the security of the terminal is improved. Applicability can provide users with a good experience.

It should be noted that each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. For the same and similar parts in each embodiment, refer to each other, that is, Can. As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for related parts, please refer to the part of the description of the method embodiment.

In the several embodiments provided in this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or can be Integrate into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical or other forms.

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

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

If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: a magnetic disk, an optical disk, a read-only memory (Read-Only Memory, ROM for short) or a random access memory (Random Access Memory, RAM for short), and the like.

As mentioned above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: it can still understand the foregoing The technical solutions recorded in each embodiment are modified, or some of the technical features are replaced equivalently; and these modifications or replacements do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A method for biometric identification, comprising: Configure different matching thresholds for different application scenarios, wherein the matching threshold is used to characterize the matching degree of biometrics, and each matching threshold corresponds to a false rejection rate and a false acceptance rate, wherein the true rejection rate should be mutually The probability that a successfully matched biological feature is regarded as an unmatched biological feature, and the false recognition rate is the probability that a biological feature that should not be matched is regarded as a matching biological feature; Identify the current application scenario where the terminal is located; determining the currently used matching threshold according to the current application scenario; Invoke the rejection rate and false acceptance rate corresponding to the currently used matching threshold to perform biometric identification, wherein the matching threshold in the scenario where the user pursues efficiency is smaller than the matching threshold in the scenario where the user pursues security. 2. The method according to claim 1, wherein the application scenarios include terminal screen unlocking, application unlocking, file encryption unlocking and mobile payment. 3. The method according to claim 2, wherein the rejection rate of the terminal screen unlocking is lower than the rejection rate of the mobile payment, and the false acceptance rate of the terminal screen unlocking is higher than that of the mobile payment. The false acceptance rate paid. 4. The method according to claim 1, characterized in that the rejection rate and the false acceptance rate are adjusted by the number of biometric features compared in the biometric identification process. 5. The method according to any one of claims 1-4, wherein the biometric identification includes fingerprint identification, iris identification or face identification. 6. A terminal, characterized in that, comprising: The configuration unit is used to configure different matching thresholds for different application scenarios, wherein the matching threshold is used to characterize the matching degree of biometrics, and each matching threshold corresponds to a false rejection rate and a false recognition rate, wherein the true rejection The false recognition rate is the probability of treating the biological characteristics that should not be matched as the matching biological characteristics; an identification unit, configured to identify the current application scenario where the terminal is located; A determining unit, configured to determine the currently used matching threshold according to the current application scenario; The calling unit is used to call the rejection rate and the false acceptance rate corresponding to the currently used matching threshold to perform biometric identification, wherein the matching threshold in the scenario where the user pursues efficiency is smaller than the matching threshold in the scenario where the user pursues security . 7. The terminal according to claim 6, wherein the application scenarios include terminal screen unlocking, application unlocking, file encryption unlocking and mobile payment. 8. The terminal according to claim 7, wherein the rejection rate of the terminal screen unlocking is lower than the rejection rate of the mobile payment, and the false acceptance rate of the terminal screen unlocking is higher than that of the mobile payment. The false acceptance rate paid. 9. The terminal according to claim 6, characterized in that the rejection rate and the false acceptance rate are adjusted by the number of biometric features compared in the biometric identification process. 10. The terminal according to any one of claims 6-9, wherein the biometric identification includes fingerprint identification, iris identification or face identification.