JP2023546837A - Identity authentication methods and devices, electronic devices and storage media - Google Patents

Abstract

The present disclosure relates to identity authentication methods and devices, electronic devices, and storage media. The method includes acquiring facial information for requesting unlocking of an unlock target, and authenticating the identity of the requesting user who made the request based on the facial information and preset identity authentication standard information. and when the unlock target fails to be unlocked based on the identity authentication result of the requesting user, the face adjusting the identity verification criteria information based on the information. [Selection diagram] Figure 1

Description

TECHNICAL FIELD The present disclosure relates to the field of computer technology, and in particular to identity authentication methods and devices, electronic equipment, and storage media.

With the development of artificial intelligence technology, smart unlocking is increasingly being applied in various industries, such as unlocking vehicles, unlocking doors, and unlocking ticket gates. Conventional unlocking methods include unlocking with a key and unlocking with a fingerprint. With the development of computer vision technology, facial recognition-based unlocking has become widely applied to various unlocking targets.

This disclosure provides technical means of identity authentication.

According to one aspect of the present disclosure:
Obtaining facial information for requesting unlocking of an unlocking target;
authenticating the identity of the requesting user who made the request based on the face information and preset identity authentication standard information;
If the unlock target fails to be unlocked based on the identity authentication result of the requesting user, the face information is updated in response to the unlock target being successfully unlocked by a preset unlock operation. adjusting the identity authentication criteria information based on the identity authentication method.

In one possible embodiment, the identity authentication reference information comprises a reference facial information database;
Adjusting the identity authentication standard information based on the facial information as described above,
The method includes adding the face information to a set of reference face information associated with the requesting user in the reference face information database.

In one possible embodiment, the identity authentication criteria information includes criteria parameters for identity authentication.

In one possible embodiment, the reference parameters include preset neural network parameters;
Performing the identity authentication of the requesting user based on the face information and preset identity authentication standard information as described above,
based on the facial information, using the preconfigured neural network to verify whether the requesting user is an authenticated user;
Adjusting the identity authentication standard information based on the facial information as described above,
creating a training sample using the face information;
adjusting parameters of the preset neural network based on the training samples.

In one possible embodiment, adjusting the preset neural network parameters based on the training samples as described above comprises:
obtaining an output result by inputting the face information to the preset neural network;
In response to the output result being an authentication failure, the parameters of the preset neural network are adjusted so that the adjusted result of identity authentication based on the face information by the preset neural network is an authentication success. and adjusting.

In one possible embodiment, the criteria parameters for identity verification include a match threshold for facial information;
Performing the identity authentication of the requesting user based on the face information and preset identity authentication standard information as described above,
determining the degree of matching between the facial information and the authenticated user's facial information;
determining that the requesting user has been successfully authenticated in response to a degree of matching between the face information and the face information of the authenticated user exceeding the degree of matching threshold;
Adjusting the identity authentication standard information based on the facial information as described above,
The matching threshold may be adjusted to a lower value.

In one possible embodiment, adjusting the matching threshold as described above comprises:
In response to the environmental brightness being lower than a predetermined brightness threshold, the matching threshold may be adjusted down to a target matching threshold.

In one possible embodiment, the method comprises:
further comprising detecting whether an occluded area exists in the face corresponding to the face information,
Performing the identity authentication of the requesting user based on the face information and preset identity authentication standard information as described above,
In response to the detection of an occluded area in the face corresponding to the face information, the non-occluded area in the face information is weighted based on a first matching degree weight to obtain first weighting information; obtaining second weighting information by weighting the occluded area in the face information based on the matching degree weight;
authenticating the requesting user's identity based on the first weighting information and the second weighting information,
Adjusting the identity authentication standard information based on the facial information as described above,
The method includes increasing a first matching degree weight and/or decreasing the second matching degree weight in response to detection of an occluded region in the face.

In one possible embodiment, the method comprises:
If the unlocking target fails to be unlocked based on the identity authentication result of the requesting user, the requesting user may be prompted to further comprising transmitting reminder information to the requesting user prompting the requesting user to adjust identity verification criteria information;
Adjusting the identity authentication standard information based on the facial information as described above,
The method includes adjusting the identity authentication standard information based on the facial information in response to detecting that the requesting user has instructed adjustment in response to the alerting information.

In one possible embodiment, the method comprises:
further comprising obtaining a time interval between a time when the requesting user made the request and a time when the preset unlock operation was performed;
Adjusting the identity authentication standard information based on the facial information as described above,
The method includes adjusting the identity verification criteria information based on the facial information in response to the time interval being less than a predetermined time threshold.

In one possible embodiment, the unlocked object is:
It includes at least one of a vehicle door lock, a room door lock, and a ticket gate.

According to one aspect of the present disclosure:
an acquisition unit that acquires facial information for requesting unlocking of an unlocking target;
an authentication unit that authenticates the identity of the requesting user who made the request based on the face information and preset identity authentication standard information;
If the unlock target fails to be unlocked based on the identity authentication result of the requesting user, the face information is updated in response to the unlock target being successfully unlocked by a preset unlock operation. an adjustment unit that adjusts the identity verification reference information based on the identity verification device.

In one possible embodiment, the identity authentication reference information comprises a reference facial information database;
The adjustment unit adds the face information to a set of reference face information associated with the requesting user in the reference face information database.

In one possible embodiment, the identity authentication criteria information includes criteria parameters for identity authentication.

In one possible embodiment, the reference parameters include preset neural network parameters;
The authentication unit verifies whether the requesting user is an authenticated user using the preset neural network based on the facial information,
The adjustment unit creates training samples using the face information and adjusts parameters of the preset neural network based on the training samples.

In one possible embodiment, the adjustment unit obtains an output result by taking the facial information as an input of the pre-configured neural network, and in response to the output result being an authentication failure, the adjustment unit adjusts the pre-adjusted neural network. The parameters of the preset neural network are adjusted so that the identity authentication result based on the face information by the set neural network is a successful authentication.

In one possible embodiment, the criteria parameters for identity verification include a match threshold for facial information;
The authentication unit determines the degree of match between the face information and the face information of the authenticated user, and responds to the request in response to the degree of match between the face information and the face information of the authenticated user exceeding the match degree threshold. It is determined that the user authentication was successful,
The adjustment unit adjusts the matching degree threshold to be low.

In one possible embodiment, the adjustment unit adjusts the matching threshold down to a target matching threshold in response to an environment brightness being lower than a predetermined brightness threshold.

In one possible embodiment, the device comprises:
further comprising a detection unit that detects whether an occluded area exists in the face corresponding to the face information,
The authentication unit weights the non-occluded area in the facial information based on a first matching degree weight to obtain first weighting information in response to the detection of an occluded area in the face corresponding to the facial information. and weighting the occluded area in the face information based on a second matching degree weight to obtain second weighting information, and based on the first weighting information and the second weighting information, the requesting user Verify your identity,
The adjustment unit increases the first match degree weight and/or decreases the second match degree weight in response to the detection of an occluded region in the face.

In one possible embodiment, the device comprises:
If the unlocking target fails to be unlocked based on the identity authentication result of the requesting user, the requesting user may be prompted to further comprising a reminder unit that transmits reminder information to the requesting user to prompt the requesting user to adjust the identity authentication criteria information;
The adjustment unit adjusts the identity authentication reference information based on the facial information in response to detecting that the requesting user has instructed adjustment in response to the alerting information.

In one possible embodiment, the device comprises:
further comprising a time interval acquisition unit that acquires a time interval between a time when the requesting user made the request and a time when the preset unlocking operation was performed;
The adjustment unit adjusts the identity authentication reference information based on the face information in response to the time interval being smaller than a predetermined time threshold.

In one possible embodiment, the unlocked object is:
It includes at least one of a vehicle door lock, a room door lock, and a ticket gate.

According to one aspect of the present disclosure, the invention includes a processor and a memory for storing instructions executable by the processor, the processor being configured to call instructions stored in the memory to perform the method. Provides electronic equipment configured with

According to one aspect of the disclosure, there is provided a computer-readable storage medium having computer program instructions stored thereon, the computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, cause the computer program instructions to effectuate the method described above. I will provide a.

According to one aspect of the present disclosure, there is provided a computer program comprising computer readable code, wherein when the computer readable code is operated on an electronic device, a processor of the electronic device executes instructions for implementing the method. Provide a computer program to run.

In the embodiment of the present disclosure, after obtaining facial information for requesting unlocking of an unlock target, the identity of the requesting user who made the request is authenticated based on the facial information and preset identity authentication standard information, Then, if the unlock target fails to be unlocked based on the requesting user's identity authentication result, and the unlock target is successfully unlocked by a preset unlock operation, the unlock target is successfully unlocked based on the facial information. Adjust identity verification criteria information. The requesting user is a user who has unlocking authority because the unlocking target failed to be unlocked based on the requesting user's identity authentication result, but the unlocking target was successfully unlocked by the preset unlock operation. Therefore, the process of performing identity verification based on facial information and preset identity verification criteria information can be further optimized. Therefore, by adjusting the identity authentication standard information based on the facial information, it is possible to improve the accuracy of identity authentication based on the facial information and the preset identity authentication standard information, thereby improving the success rate of unlocking. Better user experience.

It is to be understood that the foregoing general description and the following detailed description are exemplary and interpretive only and are not intended to limit the present disclosure. Other features and aspects of the present disclosure will become clear from the following detailed description of exemplary embodiments with reference to the drawings.

The drawings, which are incorporated as part of the specification, illustrate embodiments according to the disclosure and are used together with the specification to explain the technical solution of the disclosure.
2 shows a flowchart of an identity authentication method according to an embodiment of the present disclosure. 1 shows a block diagram of an identity authentication device provided by an embodiment of the present disclosure. FIG. 1 illustrates a block diagram of an electronic device provided by an embodiment of the present disclosure. 1 illustrates a block diagram of an electronic device provided by an embodiment of the present disclosure.

Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the drawings. The same reference numerals in the drawings indicate elements of the same or similar function. Although various aspects of the embodiments are illustrated in the drawings, the drawings need not be drawn to scale unless indicated otherwise.

The term "exemplary" herein means "serving as an example, implementation, or illustration." Any embodiment described herein as "exemplary" is not to be construed as preferred or superior to other embodiments.

The term "and/or" herein merely describes a related relationship, and indicates that three relationships can exist. For example, A and/or B can represent three cases: only A is present, both A and B are present, and only B is present. Moreover, the term "at least one" in this specification indicates any one of a plurality or any combination of at least two of a plurality. For example, containing at least one of A, B, and C can indicate containing one or more elements selected from the set consisting of A, B, and C.

In addition, many specific details are set forth in the specific embodiments below in order to better explain the present disclosure. Those skilled in the art should understand that the present disclosure may equally be practiced without any specific details. In some embodiments, detailed descriptions of methods, means, elements, and circuits that are well known to those skilled in the art are omitted to emphasize the spirit of the present disclosure.

With the development of artificial intelligence technology, smart unlocking, such as facial recognition unlocking based on computer vision technology, is becoming more and more popular. Although facial recognition unlocking often has a certain degree of accuracy, it is important to optimize the unlocking process and improve the user experience.

In view of the above, the embodiments of the present disclosure provide a method for obtaining facial information for requesting unlocking of an unlocking target, and then performing a request based on the facial information and preset identity authentication standard information. The user's identity is authenticated, and if the unlocking target fails to be unlocked based on the requesting user's identity authentication result, the unlocking target is successfully unlocked by a preset unlock operation. The present invention provides an identity authentication method that adjusts identity authentication reference information based on facial information. The requesting user is a user who has unlocking authority because the unlocking target failed to be unlocked based on the requesting user's identity authentication result, but the unlocking target was successfully unlocked by the preset unlock operation. Therefore, the process of performing identity verification based on facial information and preset identity verification criteria information can be further optimized. Therefore, by adjusting the identity authentication standard information based on the facial information, it is possible to improve the accuracy of identity authentication based on the facial information and the preset identity authentication standard information, thereby improving the success rate of unlocking. Better user experience.

In one possible embodiment, the identity authentication method may be performed by an electronic device, such as a terminal device or a server. Terminal devices include user equipment (UE), mobile devices, user terminals, terminals, cellular phones, cordless phones, personal digital assistants (PDAs), handheld devices, computing devices, in-vehicle devices, and wearable devices. It may also be a device or the like. The method may be implemented by a processor invoking computer readable instructions stored in memory. Alternatively, the method may be performed by a server.

In one possible embodiment, the unlock target includes at least one of a vehicle door lock, a room door lock, and a ticket gate. An execution entity of the identity authentication method provided by the embodiment of the present disclosure may be an identity authentication device installed in the unlocking target, or may be the unlocking target itself.

For convenience of explanation, in one or more embodiments of the present specification, the entity that executes the identity authentication method may be an identity authentication device. Hereinafter, an embodiment of the method will be described using an example in which the execution entity is an identity authentication device. It should be understood that the fact that the subject of execution of the method is an identity authentication device is only an exemplary explanation and does not limit the method.

FIG. 1 shows a flowchart of an identity authentication method according to an embodiment of the present disclosure. As shown in FIG. 1, the identity authentication method includes the following steps.

In step S11, face information requesting unlocking of the unlocking target is acquired.

A request to unlock an unlock target may be made using a user operation as a trigger. For example, a user can request unlocking of an unlocking target based on facial information via a physical button or a virtual button of the unlocking target. Alternatively, the request to unlock the unlock target may be triggered by detection of the user's face information. The electronic device continuously detects whether a facial object appears in the facial recognition unlock video stream collected by the camera, and activates the facial recognition unlock function if the facial object appears. and automatically generate a request to unlock the unlock target.

Although facial information can be acquired by a video collection device associated with a target to be unlocked, the present disclosure is not limited to a specific acquisition form.

In step S12, the identity of the requesting user who made the request is authenticated based on the face information and preset identity authentication standard information.

Identity authentication here may be a process of confirming the user's identity. Specifically, it may check the specific identity information corresponding to the user based on the facial information, or it may check whether the user is an authenticated user with unlock authority based on the facial information. good.

Identity authentication is performed based on preset identity authentication standard information. The identity authentication standard information here may be standard information for performing identity authentication on face information, and identity authentication can be performed on face information based on the identity authentication standard information.

In one possible embodiment, the identity authentication reference information includes a reference face database, where the reference face database includes reference face information of known user identities or reference faces of authenticated users whose identities have unlocking privileges. May contain information. In the embodiment of the present disclosure, the requesting user's face information may be a face image or a face feature value, so the reference face information in the reference face information database is specifically a face image. It may also be a facial feature value.

Therefore, in the step of authenticating the identity of the requesting user who made the request based on the facial information and preset identity authentication standard information, the facial information is compared with the standard facial information in the standard facial information database, and the facial information and the standard information are verified. Obtain degree of match with face information. Then, it is determined whether the matching degree exceeds the matching degree threshold, and if the matching degree exceeds the matching degree threshold, it can be determined that the requesting user is an authenticated user, that is, the authentication has been successful.

In one possible embodiment, the identity authentication criteria information includes criteria parameters for identity authentication. The reference parameters may be parameters of an artificial intelligence module for identity authentication, for example, parameters of a preset neural network.

Therefore, in the step of authenticating the identity of the requesting user who made the request based on the facial information and preset identity authentication standard information, the facial information is authenticated using the preset neural network. , identity verification results can be obtained. This disclosure does not specifically limit the procedure for performing identity authentication via a neural network.

Although several possible embodiments of identity authentication according to the present disclosure have been exemplified above, in actual application of the present disclosure, other identity authentication forms may be selected by those skilled in the art according to actual needs. are all included within the technical scope of the present application. Detailed explanations of more forms of identity authentication will be omitted here.

After obtaining the identity authentication result, if the identity authentication result indicates that the requesting user is an authenticated user, the unlocking target is instructed to unlock, and the unlocking target is instructed to unlock. If the identity authentication result shows that the requesting user is an unauthenticated user, the identity authentication fails and the user is notified of the failure in unlocking.

In step S13, when the unlocking target fails to be unlocked based on the identity authentication result of the requesting user, in response to successfully unlocking the unlocking target by a preset unlocking operation, Adjusting the identity authentication reference information based on the facial information.

The preset unlocking operation may be performed after the unlocking target fails to be unlocked based on the requesting user's identity authentication result. For example, after the requesting user fails to request unlocking of an unlock target based on face information, the requesting user can unlock the target again by performing an unlock operation.

In the present disclosure, the specific form of the preset unlock operation is not specifically limited. For example, unlocking may be performed using a physical key, a fingerprint, a face, a password, or the like.

The preset unlock operation here may be an operation performed by the requesting user described in this disclosure. In other words, if the request for unlocking based on the requesting user's face information fails, if the unlocking is successful again based on the unlocking operation using the physical key, fingerprint, password, etc., the requesting user is a user with unlocking authority. it is conceivable that. The requesting user's failure to request unlocking using facial information may be due to inaccurate identity authentication criteria information. Therefore, in this case, the identity authentication reference information can be adjusted based on the facial information.

Adjusting the identity authentication standard information based on the facial information here means that the unlock target can be unlocked based on the authentication result of identity authentication based on the acquired facial information and the identity authentication standard information. It may be to adjust the identity verification criteria information. For example, it is possible to add face information to a face template information database as identity authentication reference information, or to adjust a face recognition threshold. There are various specific adjustment forms, and since possible embodiments according to the present disclosure described below can be referred to, a detailed description thereof will be omitted here.

In the embodiment of the present disclosure, after obtaining facial information for requesting unlocking of an unlock target, the identity of the requesting user who made the request is authenticated based on the facial information and preset identity authentication standard information, Then, if the unlock target fails to be unlocked based on the requesting user's identity authentication result, and the unlock target is successfully unlocked by a preset unlock operation, the unlock target is successfully unlocked based on the facial information. Adjust identity verification criteria information. The requesting user is a user who has unlocking authority because the unlocking target failed to be unlocked based on the requesting user's identity authentication result, but the unlocking target was successfully unlocked by the preset unlock operation. Therefore, the process of performing identity verification based on facial information and preset identity verification criteria information can be further optimized. Therefore, by adjusting the identity authentication standard information based on the facial information, it is possible to improve the accuracy of identity authentication based on the facial information and the preset identity authentication standard information, thereby improving the success rate of unlocking. Better user experience.

In one possible embodiment, the identity verification criteria information includes a reference facial information database, and adjusting the identity verification criteria information based on the facial information described above includes adjusting the facial information to the reference facial information. and adding to a set of reference facial information associated with the requesting user in a database.

In this embodiment, the identity authentication reference information may be a reference face information database, so the step of authenticating the identity of the requesting user who made the request based on the face information and the preset identity authentication reference information , the face information is compared with the reference face information in the reference face information database, the degree of matching between the face information and the reference face information is obtained, and then it is determined whether the degree of matching exceeds the matching degree threshold, and the degree of matching is determined. If the matching threshold is exceeded, it is considered that the acquired face information and the reference face information have been successfully matched, and it can be determined that the requesting user is an authenticated user, that is, the authentication has been successful.

If the unlocking target is successfully unlocked by a preset unlocking operation, the requesting user is considered to be a user with unlocking authority. The requesting user's request for unlocking based on face information may have failed because the reference face information in the reference face information database cannot be matched with the face information of the requesting user. Therefore, in this case, the acquired face information can be added to the reference face information database. Thereby, when the requesting user requests unlocking using facial information next time, the success rate of unlocking can be improved and the user experience can be improved.

The reference face information database may include reference face information of a plurality of authenticated users, and one authenticated user may correspond to one set of reference face information. In this case, in the step of performing identity authentication, the face of the requesting user is matched with reference face information in the reference face information database, and the authenticated user to which the successfully matched reference face information belongs corresponds to the requesting user.

Therefore, in the step of adding the acquired face information to the reference face information database, the face information can be added to the set of reference face information associated with the requesting user in the reference face information database.

In embodiments of the present disclosure, when the identity authentication reference information includes a reference face information database, the face information can be added to the set of reference face information associated with the requesting user in the reference face information database, so that the request When the user requests unlocking using facial information next time, the success rate of unlocking can be improved and the user experience can be improved.

In one possible embodiment, the identity authentication criteria information includes criteria parameters for identity authentication. This criterion parameter may be a parameter that influences the identity verification result. For example, it may be a parameter of an artificial intelligence module for identity authentication, such as a preset neural network parameter. As a result, if the unlock target fails to be unlocked based on the requesting user's identity authentication result, the unlock target will be successfully unlocked based on the facial information based on the preset unlock operation. Since the reference parameters for identity verification are adjusted, the accuracy of identity verification based on facial information and reference parameters is improved, the success rate of unlocking is improved, and the user experience is improved.

In one possible embodiment, the reference parameters include pre-configured neural network parameters to perform identity verification of the requesting user based on the facial information and pre-configured identity verification criteria information as described above. verifying whether the requesting user is an authenticated user using the pre-configured neural network based on the facial information; Adjusting information includes creating a training sample using the facial information and adjusting parameters of the preset neural network based on the training sample.

The parameters of the neural network may be, for example, parameters such as weight values of nodes in the neural network. Parameters in the neural network can affect the prediction results made by the neural network. When training a neural network, the performance of the neural network is often optimized by adjusting the parameters of the neural network using training samples.

In this embodiment, based on facial information, a preconfigured neural network can be used to verify whether the requesting user is an authenticated user. The neural network may be an end-to-end neural network, the input of which may be facial information and the output is an identity verification result.

This preset neural network may be trained based on training samples. Therefore, it is possible to create training samples using face information and adjust preset neural network parameters based on the created training samples.

In one possible embodiment, adjusting the parameters of the preset neural network based on the training samples as described above includes using the facial information as an input of the preset neural network to obtain an output result. and, in response to the output result being an authentication failure, the preset neural network is configured such that the adjusted result of identity authentication based on the face information by the preset neural network is an authentication success. and adjusting the parameters.

In one possible embodiment, the step of adjusting the preset neural network parameters based on the training samples further comprises iteratively training the neural network using new training samples that integrate facial information with the existing training samples. The parameters of the neural network can then be adjusted.

In an embodiment of the present disclosure, when the reference parameters include preset neural network parameters, facial information is used to verify whether the requesting user is an authenticated user using the preset neural network. By creating training samples and adjusting the parameters of the neural network based on the training samples, the accuracy of identity authentication by the preset neural network is improved, and the unlocking success rate when the requesting user unlocks. is improved and the user experience is improved.

In addition, in the specific training process, if the identity authentication result based on facial information by a preset neural network is an authentication failure, the identity authentication result based on facial information using a preset neural network after adjustment is authenticated. The parameters of the preset neural network can be adjusted so that the preset neural network can successfully authenticate the requesting user's identity, thereby improving the success rate of the requesting user's identity authentication when the requesting user unlocks. improves the unlock success rate and improves the user experience.

In one possible embodiment, the criteria parameters for identity authentication include a matching threshold for facial information, and the identity of the requesting user is determined based on the facial information and preset identity authentication criteria information as described above. Performing the authentication includes determining the degree of match between the face information and the face information of the authenticated user, and in response to the degree of match between the face information and the face information of the authenticated user exceeding the match degree threshold. , determining that the requesting user has been successfully authenticated, and adjusting the identity authentication standard information based on the face information includes adjusting the match degree threshold to be low.

The degree of matching here may be, for example, the degree of similarity between the face information of the requesting user and the face information of the authenticated user. This similarity may be a cosine similarity between vectors corresponding to face information. Regarding the procedure for determining the degree of similarity between facial information, related techniques can be referred to, so a detailed explanation will be omitted here.

Whether or not the requesting user has been successfully authenticated can be determined based on the matching degree threshold. The degree of matching between the requesting user's facial information and the authenticated user's facial information is compared with a matching degree threshold, and if the degree of matching between the requesting user's facial information and the authenticated user's facial information exceeds the matching degree threshold, the requesting user's facial information is compared with the matching degree threshold. Determine that the authentication was successful.

The matching degree threshold here may be set based on experience, or may be adjusted dynamically. The matching degree threshold may be, for example, 90%. In this case, if the degree of matching between the requesting user's face information and the authenticated user's face information exceeds 90%, it is determined that the requesting user has been successfully authenticated.

If the identity authentication result obtained based on the facial information and matching threshold fails to unlock the unlock target, the requesting user This user is considered to have unlock authority. The reason why the requesting user failed to request unlocking based on face information may be due to the match threshold being too high. Therefore, in this case, the matching degree threshold can be adjusted low. As a result, when the user requests unlocking using face information next time, the success rate of unlocking is improved and the user experience is improved.

The user can set the specific range by which the matching threshold is adjusted to be lower. For example, it can be adjusted down by 5%, and the match threshold can be adjusted down from 90% to 85%.

In one possible embodiment, the above-mentioned adjusting the matchability threshold lower comprises adjusting the matchability threshold lower to a target matchability threshold in response to an environment brightness being lower than a predetermined brightness threshold. including.

In embodiments of the present disclosure, failure to unlock based on the identity authentication result obtained based on the face information and the match degree threshold may be due to low ambient brightness. Therefore, when the environmental brightness is lower than the predetermined brightness threshold, the matching threshold can be adjusted down to the target matching threshold. This improves the success rate of unlocking when the environment brightness is low and improves the user experience.

The environmental brightness can be detected by an environmental light sensor that can detect the environmental brightness around the unlocking target.

In one possible embodiment, the method further comprises detecting whether an occluded region exists in the face corresponding to the facial information, wherein the method further comprises detecting whether an occluded region exists in the face corresponding to the facial information, Accordingly, performing the identity authentication of the requesting user includes detecting a non-occluded area in the face information based on a first matching degree weight in response to the detection of an occluded area in the face corresponding to the facial information. weighting to obtain first weighting information, weighting the occluded area in the face information based on a second matching degree weight to obtain second weighting information, and combining the first weighting information and the second weighting information. authenticating the requesting user's identity based on weighted information of the user; and/or increasing the first match weight and/or decreasing the second match weight accordingly.

In this embodiment, it is possible to detect whether an occluded area exists in a face corresponding to facial information. Specifically, for images collected by a video collection device, it is possible to detect whether there is a face in the image by detecting face key points, or to determine whether there is a face in the image by using semantic segmentation. However, for the detected face, it can be further determined whether the face is occluded.

There are various ways to determine whether a face is occluded. For example, identification can be performed based on the color of the face area. If it is detected that the face has a color that is significantly different from the skin color, the face is considered to be occluded. Alternatively, when a target is identified on the face depending on the form of target object identification, it can be determined that the face is occluded. Specifically, the target object may be a mask, a muffler, glasses, or the like. Alternatively, neural networks can be trained to identify facial occlusions.

After determining that the face is occluded, further occluded areas can be identified. Since occluded areas often cannot accurately reflect facial features, when it is detected that an occluded area exists on a face corresponding to facial information, the first matching step is performed in the step of performing identity authentication based on facial information. weighting the non-occluded areas in the face information based on the matching degree weight to obtain first weighting information, and weighting the occluded areas in the facial information based on the second matching degree weight to obtain second weighting information. , and the identity of the requesting user can be authenticated based on the first weighting information and the second weighting information.

As an example of this embodiment, the first matching weight and the second matching weight may be specific weight values. If it is detected that the face has an occluded region, the first match weight can be increased and/or the second match weight can be decreased. For example, the first match weight can be increased from 0.6 to 0.7, and/or the second match weight can be decreased from 0.4 to 0.3.

The first matching degree weight and the second matching degree weight are used to adjust the occluded area and the non-occluded area in the face information. In the step of performing identity authentication, the greater the weight, the greater the influence on the identity authentication result, while the smaller the weight, the smaller the influence on the identity authentication result.

In the embodiment of the present disclosure, in the step of performing identity authentication based on face information when a masked area exists on the face, the identity authentication result of the non-occluded area in the face information is increased by increasing the first matching degree weight. The accuracy of identity authentication can be improved by increasing the impact on Alternatively, by reducing the second matching degree weight, the influence of the masked area in facial information on the identity authentication result can be reduced, and if the user's face is blocked by wearing a mask, sunglasses, hat, etc. Authentication accuracy can be improved.

In one possible embodiment, the method includes unlocking the unlocking target by a preset unlocking operation if the unlocking target fails to be unlocked based on the identity authentication result of the requesting user. and, upon success, transmitting reminder information to the requesting user prompting the requesting user to adjust the identity authentication criteria information based on the facial information, as described above. Adjusting includes adjusting the identity authentication reference information based on the facial information in response to detecting that the requesting user has instructed adjustment in response to the alerting information.

In the embodiment of the present disclosure, the user is alerted to adjust the identity authentication standard information by sending alert information to the user, and when an adjustment instruction is detected, the identity authentication standard is set based on the facial information. To adjust information, security is improved by preventing adjustment of identity authentication criteria information based on facial information of an unauthorized user.

In one possible embodiment, the method further comprises obtaining a time interval between the time when the requesting user made the request and the time when the preset unlocking operation was performed, and the method further comprises: Adjusting the identity verification criteria information based on the facial information includes adjusting the identity verification criteria information based on the facial information in response to the time interval being less than a predetermined time threshold.

If the time interval between the time when the requesting user made the request and the time when the preset unlocking operation was performed is short, it is highly likely that the two unlocking operations were performed by the same person; If the time interval is long, there is a high possibility that the two unlocks are not performed by the same person. Therefore, in the embodiment of the present disclosure, by setting the time threshold, when the time interval is smaller than the predetermined time threshold, the identity authentication reference information is adjusted based on the face information, so that the security is high.

As an example of this embodiment, the predetermined time threshold may be, for example, 30 seconds. Although the predetermined time threshold can be set based on experience, this disclosure is not specifically limited to this.

Hereinafter, one application scene of the embodiment of the present disclosure will be described. In this application scene, the unlock target is the vehicle door lock. The user requests facial unlocking before entering the vehicle. An identity authentication device in a vehicle door lock acquires facial information of a user using a camera, compares the facial information with reference facial information in a standard facial information database, and obtains the degree of matching between the facial information and the standard facial information. The identity authentication device determines whether the matching degree exceeds the matching degree threshold, and if the matching degree does not exceed the matching degree threshold, it determines that the requesting user is an unauthenticated user and unlocking fails. did. The user successfully unlocked the door by unlocking it with the key. After the user enters the vehicle, the vehicle sends alert information to the user and asks the user whether to add the facial information used during facial unlocking to the reference facial information database. The vehicle adds facial information to the reference facial information database in response to the user instructing adjustment based on the alerting information.

It will be understood that the embodiments of each of the above methods mentioned in this disclosure can be combined with each other to form embodiments as long as it does not violate principles and logic. Due to limited space, detailed description will be omitted in this disclosure. Those skilled in the art will understand that in the above methods according to specific embodiments, the specific order of execution of each step is determined by its functionality and possible underlying logic.

The present disclosure further provides an identity authentication device, an electronic device, a computer-readable storage medium, and a program. Any of these may be used to implement any of the identity authentication methods provided in this disclosure. For the corresponding technical means and explanation, refer to the corresponding description of the method, and detailed explanation will be omitted.

FIG. 2 shows a block diagram of an identity authentication device according to an embodiment of the present disclosure. As shown in FIG. 2, the device includes:
an acquisition unit 21 that acquires facial information requesting unlocking of an unlocking target;
an authentication unit 22 that authenticates the identity of the requesting user who made the request based on the face information and preset identity authentication standard information;
If the unlock target fails to be unlocked based on the identity authentication result of the requesting user, the face information is updated in response to the unlock target being successfully unlocked by a preset unlock operation. an adjustment unit 23 for adjusting the identity verification criteria information based on the identification criteria information.

In one possible embodiment, the identity authentication reference information comprises a reference facial information database;
The adjustment unit 23 adds the face information to a set of reference face information associated with the requesting user in the reference face information database.

In one possible embodiment, the identity authentication criteria information includes criteria parameters for identity authentication.

In one possible embodiment, the reference parameters include preset neural network parameters;
The authentication unit 22 verifies whether the requesting user is an authenticated user using the preset neural network based on the facial information,
The adjustment unit 23 creates training samples using the face information, and adjusts the preset parameters of the neural network based on the training samples.

In one possible embodiment, the adjustment unit 23 obtains an output result by taking the face information as an input of the preset neural network, and in response to the output result being an authentication failure, the adjustment unit 23 adjusts the face information after adjustment. The parameters of the preset neural network are adjusted so that the identity authentication result based on the face information by the preset neural network is a successful authentication.

In one possible embodiment, the criteria parameters for identity verification include a match threshold for facial information;
The authentication unit 22 determines the degree of match between the face information and the face information of the authenticated user, and in response to the degree of match between the face information and the face information of the authenticated user exceeding the match degree threshold, the authentication unit 22 determines the degree of match between the face information and the face information of the authenticated user. It is determined that the requesting user has successfully authenticated,
The adjustment unit 23 adjusts the matching degree threshold to a lower value.

In one possible embodiment, the adjustment unit 23 adjusts the matching threshold down to a target matching threshold in response to the environmental brightness being lower than a predetermined brightness threshold.

In one possible embodiment, the device comprises:
further comprising a detection unit that detects whether an occluded area exists in the face corresponding to the face information,
The authentication unit 22 weights the non-occluded area in the face information based on a first matching degree weight in response to the detection of an occluded area in the face corresponding to the facial information, and generates first weighting information. and obtain second weighting information by weighting the occluded area in the facial information based on a second matching degree weight, and based on the first weighting information and the second weighting information, Authenticate the user's identity,
The adjustment unit 23 increases the first matching degree weight and/or decreases the second matching degree weight in response to the detection of an occluded region in the face.

In one possible embodiment, the device comprises:
If the unlocking target fails to be unlocked based on the identity authentication result of the requesting user, the requesting user may be prompted to further comprising a reminder unit that transmits reminder information to the requesting user to prompt the requesting user to adjust the identity authentication criteria information;
The adjustment unit 23 adjusts the identity authentication standard information based on the face information in response to detecting that the requesting user has instructed adjustment in response to the alerting information.

In one possible embodiment, the device comprises:
further comprising a time interval acquisition unit for acquiring a time interval between a time when the requesting user made the request and a time when the preset unlocking operation was performed;
The adjustment unit 23 adjusts the identity authentication reference information based on the facial information in response to the time interval being smaller than a predetermined time threshold.

In one possible embodiment, the unlocked object is:
It includes at least one of a vehicle door lock, a room door lock, and a ticket gate.

In some embodiments, the functionality or modules possessed by the apparatus provided by the embodiments of the present disclosure can be used to perform the methods described in the method embodiments described above, and the specific For implementation, reference may be made to the description of the method embodiments mentioned above, and for the sake of brevity, a detailed description is omitted here.

In the embodiment of the present disclosure, after obtaining facial information for requesting unlocking of an unlock target, the identity of the requesting user who made the request is authenticated based on the facial information and preset identity authentication standard information, Then, if the unlock target fails to be unlocked based on the requesting user's identity authentication result, and the unlock target is successfully unlocked by a preset unlock operation, the unlock target is successfully unlocked based on the facial information. Adjust identity verification criteria information. The requesting user is a user who has unlocking authority because the unlocking target failed to be unlocked based on the requesting user's identity authentication result, but the unlocking target was successfully unlocked by the preset unlock operation. , it is possible to further optimize the process of performing identity authentication based on facial information and preset identity authentication reference information. Therefore, by adjusting the identity authentication standard information based on the facial information, it is possible to improve the accuracy of identity authentication based on the facial information and the preset identity authentication standard information, thereby improving the success rate of unlocking. Better user experience.

Embodiments of the present disclosure further include a computer-readable storage medium having computer program instructions stored thereon, the computer-readable storage medium having computer program instructions stored thereon that, when executed by a processor, cause the computer program instructions to implement the method described above. I will provide a. A computer-readable storage medium may be a volatile computer-readable storage medium or a non-volatile computer-readable storage medium.

Embodiments of the present disclosure further include a processor and a memory for storing instructions executable by the processor, the processor being configured to call instructions stored in the memory to perform the method. Provides electronic equipment configured with

Embodiments of the present disclosure further provide a computer program comprising a computer readable code, wherein the computer readable code, when operated on an electronic device, causes a processor of the electronic device to perform an identity authentication method according to any one embodiment above. A computer program product is provided that executes instructions for realizing.

Embodiments of the present disclosure further provide a computer program product for storing computer readable instructions, the instructions, when executed, causing a computer to perform an identity authentication method according to any one of the embodiments above. Provide another computer program product.

The electronic device may be provided as a terminal, server, or other form of device.

FIG. 3 shows a block diagram of an electronic device 800 provided by an embodiment of the present disclosure. For example, the electronic device 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like.

Referring to FIG. 3, electronic device 800 includes processing component 802, memory 804, power component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814, and communication component 816. It may contain one or more of the following.

Processing component 802 typically controls the overall operation of electronic device 800, such as operations related to display, telephone calls, data communications, camera operations, and recording operations. Processing component 802 may include one or more processors 820 that execute instructions to perform all or some steps of the methods described above. Processing component 802 may also include one or more modules for interaction with other components. For example, processing component 802 may include a multimedia module for interaction with multimedia component 808.

Memory 804 is configured to store various types of data to support operations on electronic device 800. These data include, by way of example, instructions for any application programs or methods operating on electronic device 800, contact data, phone book data, messages, pictures, videos, etc. Memory 804 can be, for example, static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable programmable read only memory (EPROM), programmable read only memory (PROM), read only memory (ROM), etc. ), magnetic memory, flash memory, magnetic disks or optical disks, or combinations thereof.

Power supply component 806 supplies power to each component of electronic device 800. Power supply component 806 may include a power management system, one or more power supplies, and other components associated with power generation, management, and distribution for electronic device 800.

Multimedia component 808 includes a screen that provides an output interface between the electronic device 800 and the user. In some examples, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, it may be implemented as a touch screen that receives input signals from a user. The touch panel includes one or more touch sensors to detect touches, slides, and gestures on the touch panel. The touch sensor may detect not only the boundaries of a touch or slide operation, but also the duration and pressure associated with the touch or slide operation. In some examples, multimedia component 808 includes a front camera and/or a rear camera. When the electronic device 800 is in an operating mode, such as a shooting mode or an imaging mode, the front camera and/or the rear camera may receive external multimedia data. Each front and rear camera may have a fixed optical lens system or focal length and optical zoom capability.

Audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes one microphone (MIC) configured to receive an external audio signal when the electronic device 800 is in an operating mode, such as a calling mode, a recording mode, or a voice identification mode. It is composed of The received audio signals may be further stored in memory 804 or transmitted via communication component 816. In some examples, audio component 810 further includes a speaker for outputting audio signals.

I/O interface 812 provides an interface between processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to, a home button, a volume button, a start button, and a lock button.

The sensor component 814 includes one or more sensors for evaluating the status of various aspects of the electronic device 800. For example, the sensor component 814 can detect the on/off state of the electronic device 800, the relative positioning of components such as a display and a keypad of the electronic device 800; Changes in the position of a certain component of the device 800, presence or absence of contact between the user and the electronic device 800, the orientation or acceleration/deceleration of the electronic device 800, and changes in the temperature of the electronic device 800 can be detected. Sensor component 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor component 814 may further include an optical sensor for use in imaging applications, such as a complementary metal oxide semiconductor (CMOS) or charge coupled device (CCD) image sensor. In some examples, the sensor component 814 may further include an acceleration sensor, a gyro sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

Communication component 816 is configured to provide wired or wireless communication between electronic device 800 and other devices. The electronic device 800 accesses a wireless network based on a communication standard, such as a wireless network (WiFi), a second generation mobile communication system (2G), or a third generation mobile communication system (3G), or a combination thereof. can. In one exemplary embodiment, communication component 816 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 further includes a near field communication (NFC) module to facilitate near field communication. For example, the NFC module can be implemented by Radio Frequency Identification (RFID) technology, Infrared Data Association (IrDA) technology, Ultra Wide Band (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, electronic device 800 includes one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processors (DSPDs), programmable logic devices (PLDs), field programmable turnstiles, etc. It can be realized by an array (FPGA), a controller, a microcontroller, a microprocessor or other electronic elements and used to carry out the above method.

The exemplary embodiment further provides a non-volatile computer readable storage medium, such as a memory 804 containing computer program instructions, which, when executed by a processor 820 of the electronic device 800, perform the method described above. can be executed.

FIG. 4 shows a block diagram of an electronic device 1900 provided by an embodiment of the present disclosure. For example, electronic device 1900 may be provided as a server. Referring to FIG. 4, electronic device 1900 includes a processing component 1922 that includes one or more processors, and memory resources, typically memory 1932, for storing instructions executable by processing component 1922, such as an application program. including. The application program stored in memory 1932 may include one or more modules, each module corresponding to one set of instructions. Processing component 1922 is also configured to perform the methods described above by executing the instructions.

Electronic device 1900 further includes a power supply component 1926 configured to perform power management for electronic device 1900, a wired or wireless network interface 1950 configured to connect electronic device 1900 to a network, and input/output (I/O). /O) interface 1958. The electronic device 1900 has an operating system stored in the memory 1932, such as a Microsoft server operating system (Windows Server ^TM ), an operating system with a graphical user interface developed by Apple (Mac OS X ^TM ), or a multitasking/multiuser operating system. operating system (Unix ^™ ), the free and open source Unix-like operating system (Linux ^™ ), the open source Unix-like operating system (FreeBSD ^™ ), or the like.

The exemplary embodiment further provides a non-volatile computer readable storage medium, such as a memory 1932 containing computer program instructions that, when executed by the processing component 1922 of the electronic device 1900, are provided. The above method can be executed.

The present disclosure may be a system, method and/or computer program product. A computer program product may include a computer readable storage medium having computer readable program instructions for causing a processor to implement aspects of the present disclosure.

A computer-readable storage medium may be a tangible device capable of storing and storing instructions for use in an instruction execution device. The computer readable storage medium may be, for example, but not limited to, electrical storage, magnetic storage, optical storage, electromagnetic storage, semiconductor storage, or any suitable combination of the above. Further specific examples (non-exhaustive list) of computer readable storage media include portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM). or flash memory), static random access memory (SRAM), portable compact disk read-only memory (CD-ROM), digital versatile disk (DVD), memory stick, floppy disk, perforated card on which instructions are stored, e.g. or mechanical encoding devices such as protrusion structures in slots, and any suitable combinations of the above. A computer-readable storage medium as used herein refers to the instantaneous signal itself, e.g. radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagated through waveguides or other transmission media (e.g. fiber optic cables). (pulsed light passing through) or electrical signals transmitted over electrical wires.

The computer readable program instructions described herein may be downloaded from a computer readable storage medium to each computing/processing device or connected to a network, such as the Internet, local area network, wide area network, and/or wireless network. It may also be downloaded to an external computer or external storage device via the computer. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, turnstile computers, and/or edge servers. A network adapter card or network interface within each computing/processing device receives computer readable program instructions from the network, transfers the computer readable program instructions to computer readable storage within each computing/processing device. Store it on a medium.

Computer program instructions for performing operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine language instructions, machine-dependent instructions, microcode, firmware instructions, state configuration data, or objects such as Smalltalk, C++, etc. The source code or target code may be written in any combination of one or more programming languages, including oriented programming languages and general procedural programming languages such as the "C" language or similar programming languages. The computer-readable program instructions may be executed entirely on the user's computer, partially on the user's computer, or as a stand-alone software package, or partially executed on the user's computer. and may be executed partially on a remote computer or entirely on a remote computer or server. When involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or wide area network (WAN), or may be connected to the user's computer (e.g., via an Internet service provider). may be connected to an external computer (via the Internet). In some embodiments, state information in computer readable program instructions is utilized to personalize an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), to Aspects of the present disclosure may be implemented by electronic circuitry executing computer-readable program instructions.

Aspects of the present disclosure have been described herein with reference to flowcharts and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present disclosure; each block of the flowcharts and/or block diagrams, It should be understood that any combination of blocks in the flowcharts and/or block diagrams can be implemented by computer readable program instructions.

These computer readable program instructions are provided to a processor of a general purpose computer, special purpose computer or other programmable data processing device, and when executed by the processor of the computer or other programmable data processing device, the instructions are provided in a flow chart and a processor of the computer or other programmable data processing device. Apparatus may be constructed to perform the functions/acts specified in one or more blocks of a block diagram. These computer readable program instructions may be stored on a computer readable storage medium to cause a computer, programmable data processing device and/or other equipment to operate in a particular manner. Thus, a computer-readable storage medium having instructions stored thereon includes an article of manufacture having instructions for implementing aspects of the functionality/operations specified in one or more blocks of a flowchart and/or block diagram.

Computer-readable program instructions are loaded into a computer, other programmable data processing device, or other equipment and are executed by the computer by causing the computer, other programmable data processing device, or other equipment to perform a sequence of operational steps. An executable process may also be generated. In this manner, instructions executed on a computer, other programmable data processing device, or other equipment implement the functions/acts specified in one or more blocks of the flowcharts and/or block diagrams.

The flowchart and block diagrams in the drawings illustrate possible system architecture, functionality, and operation of systems, methods, and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, program segment, or portion of instructions, and each block in the flowchart or block diagram may represent a module, program segment, or portion of instructions for implementing a specified logical function. Contains one or more executable instructions. In some alternative implementations, the functions depicted in the blocks may be implemented out of the order shown in the figures. For example, two consecutive blocks may execute substantially in parallel or, depending on the functionality, may execute in reverse order. It should be noted that each block in the block diagrams and/or flowcharts, and combinations of blocks in the block diagrams and/or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or operations. It should also be noted that the implementation may be implemented through a combination of hardware and computer instructions.

This computer program product can be tangibly implemented by hardware, software, or a combination thereof. In an optional embodiment, the computer program product is embodied as a computer storage medium. In another alternative embodiment, the computer program product is embodied as a software product, such as a Software Development Kit (SDK).

Although the embodiments of the present disclosure have been described above, the above description is merely illustrative, not exhaustive, and is not limited to the disclosed embodiments. Various modifications and changes will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology chosen herein may suitably interpret the principles, practical applications, or improvements over existing technology of each embodiment, or allow others skilled in the art to understand each embodiment presented herein. It is for.

Claims (15)

Obtaining facial information for requesting unlocking of an unlocking target;
authenticating the identity of the requesting user who made the request based on the face information and preset identity authentication standard information;
If the unlock target fails to be unlocked based on the identity authentication result of the requesting user, the face information is updated in response to the unlock target being successfully unlocked by a preset unlock operation. adjusting the identity authentication standard information based on the identity authentication method. The identity authentication reference information includes a reference facial information database,
Adjusting the identity authentication standard information based on the facial information as described above,
2. The identity authentication method according to claim 1, further comprising adding the face information to a set of reference face information associated with the requesting user in the reference face information database. The identity authentication method according to claim 1, wherein the identity authentication reference information includes reference parameters for identity authentication. The reference parameters include preset neural network parameters,
Performing the identity authentication of the requesting user based on the face information and preset identity authentication standard information as described above,
based on the facial information, using the preconfigured neural network to verify whether the requesting user is an authenticated user;
Adjusting the identity authentication standard information based on the facial information as described above,
creating a training sample using the face information;
4. The method of claim 3, further comprising: adjusting parameters of the preset neural network based on the training samples. Adjusting the preset neural network parameters based on the training samples as described above includes:
obtaining an output result by inputting the face information to the preset neural network;
In response to the output result being an authentication failure, the parameters of the preset neural network are adjusted so that the adjusted result of identity authentication based on the face information by the preset neural network is an authentication success. 5. The method of claim 4, further comprising: adjusting the identity verification method. The reference parameters for identity authentication include a matching degree threshold of facial information,
Performing the identity authentication of the requesting user based on the face information and preset identity authentication standard information as described above,
determining the degree of matching between the facial information and the authenticated user's facial information;
determining that the requesting user has been successfully authenticated in response to a degree of matching between the face information and the face information of the authenticated user exceeding the degree of matching threshold;
Adjusting the identity authentication standard information based on the facial information as described above,
4. The identity authentication method according to claim 3, further comprising adjusting the matching degree threshold to a lower value. Adjusting the matching degree threshold to a lower value as described above,
7. The method of claim 6, further comprising adjusting the match threshold lower to a target match threshold in response to environmental brightness being lower than a predetermined brightness threshold. further comprising detecting whether an occluded area exists in the face corresponding to the face information,
Performing the identity authentication of the requesting user based on the face information and preset identity authentication standard information as described above,
In response to the detection of an occluded area in the face corresponding to the face information, the non-occluded area in the face information is weighted based on a first matching degree weight to obtain first weighting information; obtaining second weighting information by weighting the occluded area in the face information based on the matching degree weight;
authenticating the requesting user's identity based on the first weighting information and the second weighting information,
Adjusting the identity authentication standard information based on the facial information as described above,
3. The method of claim 3, further comprising increasing a first matching degree weight and/or decreasing the second matching degree weight in response to detection of an occluded area in the face. The identity verification method described in . If the unlocking target fails to be unlocked based on the identity authentication result of the requesting user, the requesting user may be prompted to further comprising transmitting reminder information to the requesting user prompting the requesting user to adjust identity verification criteria information;
Adjusting the identity authentication standard information based on the facial information as described above,
Claim 1, further comprising: adjusting the identity authentication standard information based on the face information in response to detecting that the requesting user has instructed adjustment in accordance with the attention-calling information. The identity authentication method described in any one of items 8 to 8. further comprising obtaining a time interval between a time when the requesting user made the request and a time when the preset unlock operation was performed;
Adjusting the identity authentication standard information based on the facial information as described above,
9. The method according to claim 1, further comprising adjusting the identity authentication reference information based on the face information in response to the time interval being smaller than a predetermined time threshold. Identity verification method. 11. The identity authentication method according to claim 1, wherein the unlock target includes at least one of a vehicle door lock, a room door lock, and a ticket gate. an acquisition unit that acquires facial information for requesting unlocking of an unlocking target;
an authentication unit that authenticates the identity of the requesting user who made the request based on the face information and preset identity authentication standard information;
If the unlock target fails to be unlocked based on the identity authentication result of the requesting user, the face information is updated in response to the unlock target being successfully unlocked by a preset unlock operation. An adjustment unit that adjusts the identity authentication reference information based on the identity authentication standard information. a processor;
a memory for storing instructions executable by the processor;
Electronic equipment, characterized in that the processor is configured to call instructions stored in the memory to execute the identity authentication method according to any one of claims 1 to 11. A computer-readable storage medium having computer program instructions stored thereon, said computer program instructions, when executed by a processor, implementing an identity authentication method according to any one of claims 1 to 11. A computer-readable storage medium characterized by: A computer program comprising a computer readable code, wherein when the computer readable code is operated on an electronic device, a processor of the electronic device implements the identity authentication method according to any one of claims 1 to 11. A computer program that executes instructions to cause