JP7482326B2 - Identity authentication method and device, electronic device, and storage medium - Google Patents

Description

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

With the development of artificial intelligence technology, smart unlocking has been widely applied in various industries, such as unlocking vehicles, doors, and ticket gates. Traditional unlocking methods include unlocking with a key and unlocking with a fingerprint. With the development of computer vision technology, face recognition unlocking has also been widely applied to various unlocking objects.

This disclosure provides a technical means for identity authentication.

According to one aspect of the present disclosure,
Obtaining face information requesting unlocking of an unlocking target;
performing identity authentication of a requesting user who has made the request based on the face information and preset identity authentication standard information;
and adjusting the identity authentication standard information based on the face information in response to successful unlocking of the unlock target by a preset unlocking operation when unlocking of the unlock target fails based on the identity authentication result of the requesting user.

In one possible embodiment, the identity authentication reference information comprises a reference face information database;
The step of adjusting the identity authentication reference information based on the face information includes:
adding the facial information to a set of reference facial information associated with the requesting user in the reference facial information database.

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

In one possible embodiment, the reference parameters comprise predefined neural network parameters,
The above-mentioned, performing identity authentication of the requesting user based on the face information and preset identity authentication reference information,
and verifying whether the requesting user is an authorized user using the pre-configured neural network based on the facial information;
The step of adjusting the identity authentication reference information based on the face information includes:
creating training samples using the facial information;
and adjusting parameters of the pre-configured neural network based on the training samples.

In one possible embodiment, the step of adjusting the parameters of the pre-defined neural network based on the training samples comprises:
obtaining an output result by inputting the face information to the preset neural network;
and adjusting parameters of the preset neural network so that, in response to the output result being authentication failure, the adjusted preset neural network results in identity authentication based on the face information being authentication success.

In one possible embodiment, the criteria parameters for identity authentication include a facial information matching threshold,
The above-mentioned, performing identity authentication of the requesting user based on the face information and preset identity authentication reference information,
determining a degree of match between the face information and face information of an authenticated user;
determining that authentication of the requesting user has been successful when a degree of match between the face information and face information of an authenticated user exceeds the degree of match threshold;
The step of adjusting the identity authentication reference information based on the face information includes:
Adjusting the match threshold downward.

In one possible embodiment, the step of adjusting the coincidence threshold downward comprises:
In response to the environment luminance being lower than a predetermined luminance threshold, adjusting the match threshold lower to a target match threshold.

In one possible embodiment, the method comprises the steps of:
detecting whether an occluded region exists in a face corresponding to the facial information;
The above-mentioned, performing identity authentication of the requesting user based on the face information and preset identity authentication reference information,
in response to detection of an occluded area in a face corresponding to the face information, weighting a non-occluded area in the face information based on a first matching weight to obtain first weighted information, and weighting a occluded area in the face information based on a second matching weight to obtain second weighted information;
and authenticating an identity of the requesting user based on the first weighting information and the second weighting information;
The step of adjusting the identity authentication reference information based on the face information includes:
In response to detecting an occluded region in the face, increasing a first match weight and/or decreasing the second match weight.

In one possible embodiment, the method comprises the steps of:
and when the unlocking of the unlocking target fails based on the identity authentication result of the requesting user, sending to the requesting user attention information prompting the requesting user to adjust the identity authentication standard information in response to the successful unlocking of the unlocking target by a preset unlocking operation.
The step of adjusting the identity authentication reference information based on the face information includes:
The method includes adjusting the identity authentication reference information based on the face information in response to detecting that the requesting user has instructed an adjustment in response to the attention-calling information.

In one possible embodiment, the method comprises the steps of:
acquiring a time interval between when the requesting user makes the request and when the preset unlocking operation is performed;
The step of adjusting the identity authentication reference information based on the face information includes:
and adjusting the identity authentication 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 object to be unlocked is
This includes at least one of a vehicle door lock, a room door lock, and a ticket barrier.

According to one aspect of the present disclosure,
An acquisition unit for acquiring face information requesting unlocking of an unlocking target;
an authentication unit for performing identity authentication of a requesting user who has made the request based on the face information and preset identity authentication reference information;
and an adjustment unit that adjusts the identity authentication standard information based on the face information in response to successful unlocking of the unlock target by a preset unlocking operation when unlocking of the unlock target fails based on the identity authentication result of the requesting user.

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

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

In one possible embodiment, the reference parameters comprise predefined neural network parameters,
The authentication unit verifies whether the requesting user is an authenticated user by using the pre-configured neural network according to the face information;
The adjustment unit creates training samples using the face information, and adjusts parameters of the pre-configured neural network based on the training samples.

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

In one possible embodiment, the criteria parameters for identity authentication include a facial information matching threshold,
the authentication unit determines a degree of match between the face information and face information of an authenticated user, and determines that the authentication of the requesting user is successful when the degree of match between the face information and the face information of the authenticated user exceeds the degree of match threshold;
The adjustment unit adjusts the coincidence threshold lower.

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

In one possible embodiment, the device comprises:
a detection unit for detecting whether an occluded area exists in a face corresponding to the face information;
the authentication unit, in response to detecting an occluded area in a face corresponding to the face information, weights a non-occluded area in the face information based on a first matching weight to obtain first weighting information, weights a occluded area in the face information based on a second matching weight to obtain second weighting information, and performs identity authentication of the requesting user based on the first weighting information and the second weighting information;
The adjustment unit increases a first matching weight and/or decreases the second matching weight in response to detecting an occluded region in the face.

In one possible embodiment, the device comprises:
and a warning unit configured to, when the unlocking of the unlocking target fails based on the identity authentication result of the requesting user, send warning information to the requesting user to prompt the requesting user to adjust the identity authentication standard information in response to the successful unlocking of the unlocking target through a preset unlocking operation;
The adjustment unit adjusts the identity authentication reference information based on the face information in response to detection that the requesting user has instructed an adjustment in response to the warning information.

In one possible embodiment, the device comprises:
a time interval acquiring unit for acquiring a time interval between a time when the requesting user makes the request and a time when the preset unlocking operation is performed;
The adjustment unit adjusts the identity authentication criteria information based on the face information in response to the time interval being less than a predetermined time threshold.

In one possible embodiment, the object to be unlocked is
This includes at least one of a vehicle door lock, a room door lock, and a ticket barrier.

According to one aspect of the present disclosure, there is provided an electronic device including a processor and a memory for storing instructions executable by the processor, the processor being configured to execute the above method by calling the instructions stored in the memory.

According to one aspect of the present disclosure, there is provided a computer-readable storage medium having computer program instructions stored therein, the computer-readable storage medium realizing the above-described method when the computer program instructions are executed by a processor.

According to one aspect of the present disclosure, there is provided a computer program including computer-readable code, the computer program causing a processor of an electronic device to execute instructions for implementing the above-described method when the computer-readable code runs in the electronic device.

In the embodiment of the present disclosure, after obtaining face information requesting unlocking of the unlocking target, identity authentication of the requesting user who made the request is performed based on the face information and the preset identity authentication reference information. Then, when unlocking of the unlocking target fails based on the identity authentication result of the requesting user, the identity authentication reference information is adjusted based on the face information according to the success of unlocking of the unlocking target by the preset unlocking operation. Since unlocking of the unlocking target fails based on the identity authentication result of the requesting user, but unlocking of the unlocking target succeeds by the preset unlocking operation, it is possible that the requesting user is a user who has unlocking authority, so that the process of performing identity authentication based on the face information and the preset identity authentication reference information can be further optimized. Therefore, by adjusting the identity authentication reference information based on the face information, the accuracy of performing identity authentication based on the face information and the preset identity authentication reference information can be improved, so that the success rate of unlocking is improved and the user experience is improved.

It should be understood that the above general description and the following detailed description are merely illustrative and interpretive and are not intended to limit the present disclosure. Other features and aspects of the present disclosure will become apparent 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 present disclosure and are used together with the specification to explain the technical solutions of the present disclosure.
1 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 shows a block diagram of an electronic device provided in accordance with an embodiment of the present disclosure. FIG. 1 shows a block diagram of an electronic device provided in accordance with an embodiment of the present disclosure.

Various exemplary embodiments, features, and aspects of the present disclosure are described in detail below with reference to the drawings. Like numbers in the drawings indicate elements of the same or similar functionality. Although various aspects of the embodiments are illustrated in the drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

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

The term "and/or" in this specification merely describes the related relationship of related objects and indicates that three relationships can exist. For example, A and/or B can indicate three cases: A is present only, A and B are present, and B is present only. In addition, 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, including at least one of A, B, and C can indicate including any one or more elements selected from the set consisting of A, B, and C.

Also, in order to better explain the present disclosure, many specific details are provided in the following specific embodiments. It should be understood by those skilled in the art that the present disclosure can be similarly implemented 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 in order to emphasize the gist 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 common. In many cases, facial recognition unlocking has a certain accuracy, but it is important to optimize the unlocking process and improve the user experience.

In view of the above, an embodiment of the present disclosure provides an identity authentication method for obtaining face information requesting the unlocking of an unlocking target, and then performing identity authentication of a requesting user who made the request based on the face information and preset identity authentication reference information, and when the unlocking of the unlocking target fails based on the identity authentication result of the requesting user, adjusting the identity authentication reference information based on the face information in response to the success of unlocking the unlocking target by a preset unlocking operation. Since the unlocking of the unlocking target fails based on the identity authentication result of the requesting user, but the unlocking of the unlocking target succeeds by a preset unlocking operation, it is possible for the requesting user to be a user with unlocking authority, and thus the process of performing identity authentication based on the face information and the preset identity authentication reference information can be further optimized. Therefore, by adjusting the identity authentication reference information based on the face information, the accuracy of performing identity authentication based on the face information and the preset identity authentication reference information can be improved, thereby improving the success rate of unlocking and improving the 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. The terminal device may be a User Equipment (UE), a mobile device, a user terminal, a terminal, a cellular phone, a cordless phone, a Personal Digital Assistant (PDA), a handheld device, a computing device, an in-vehicle device, a wearable device, etc. The method may be implemented by a processor invoking computer-readable instructions stored in a memory. Alternatively, the method may be performed by a server.

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

For ease of explanation, in one or more embodiments of the present specification, the execution entity of 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 execution entity of the method being an identity authentication device is merely an exemplary explanation and does not limit the method.

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

In step S11, face information requesting unlocking of the object to be unlocked is obtained.

The request to unlock the unlock target may be triggered by a user operation. For example, a user may make a request to unlock the unlock target by facial information via a physical button or a virtual button on the unlock target. Alternatively, the request to unlock the unlock target may be triggered by detection of the user's facial information. The electronic device continuously detects whether a facial target appears in a video stream for unlocking by facial recognition collected by a camera, and when a facial target appears, activates the facial recognition unlock function and automatically generates a request to unlock the unlock target.

Facial information can be acquired by a video collection device associated with the target to be unlocked, but this disclosure is not limited to a specific acquisition format.

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.

Here, identity authentication may be a process of confirming the identity of a user. Specifically, specific identity information corresponding to the user may be confirmed based on facial information, or whether the user is an authenticated user with unlocking authority may be confirmed based on the facial information.

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, which may include reference face information of a user whose identity is known or reference face information of an authenticated user whose identity has unlocking authority. In an embodiment of the present disclosure, the face information of the requesting user may be a face image or a face feature value, so that the reference face information in the reference face information database may specifically be a face image or a face feature value.

Therefore, in the step of authenticating the identity of the requesting user who made the request based on the facial information and the preset identity authentication reference information, the facial information is compared with the reference facial information in the reference facial information database to obtain a degree of match between the facial information and the reference facial information. Then, it is determined whether the degree of match exceeds a threshold value, and if the degree of match exceeds the threshold value, it can be determined that the requesting user is an authenticated user, i.e., authentication has been successful.

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

Therefore, in the step of performing identity authentication of the requesting user who made the request based on the face information and the preset identity authentication reference information, identity authentication can be performed on the face information via a preset neural network to obtain an identity authentication result. In the present disclosure, there is no specific limitation on the procedure for performing identity authentication via a neural network.

Note that although several possible embodiments of identity authentication according to the present disclosure have been described above as examples, other identity authentication forms selected by those skilled in the art according to actual needs in the actual application of the present disclosure are all included in the technical scope of the present application. Detailed descriptions of more identity authentication forms will be omitted here.

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

In step S13, if the unlocking of the unlocking target fails based on the identity authentication result of the requesting user, the identity authentication standard information is adjusted based on the face information in response to the unlocking of the unlocking target being successfully unlocked by a preset unlocking operation.

The preset unlocking operation may be performed after a failure to unlock the target based on the identity authentication result of the requesting user. For example, the requesting user may be able to perform an unlocking operation again to unlock the target after a request to unlock the target based on face information has failed.

In the present disclosure, there is no specific limitation on the specific form of the preset unlocking operation. For example, unlocking with a physical key, unlocking with a fingerprint, unlocking with a face, unlocking with a password, etc. may be used.

The preset unlocking operation here may be an operation executed by the requesting user described in the present disclosure. In other words, if the request to unlock using the facial information of the requesting user fails, and the unlocking is successful again based on an unlocking operation using an actual key, fingerprint, password, or the like, the requesting user is considered to be a user with unlocking authority. The failure of the requesting user to request to unlock using facial information may be due to inaccurate identity authentication reference information. Therefore, in this case, the identity authentication reference information can be adjusted based on the facial information.

Adjusting the identity authentication reference information based on the facial information here may mean adjusting the identity authentication reference information so that the unlock target can be unlocked based on the authentication result obtained by performing identity authentication based on the acquired facial information and the identity authentication reference information. For example, the facial information can be added to a face template information database as identity authentication reference information, or a threshold value for face recognition can be adjusted. There are various specific adjustment forms, and as they can be referred to in possible embodiments of the present disclosure described later, detailed description here will be omitted.

In the embodiment of the present disclosure, after obtaining face information requesting unlocking of the unlocking target, identity authentication of the requesting user who made the request is performed based on the face information and the preset identity authentication reference information. Then, when unlocking of the unlocking target fails based on the identity authentication result of the requesting user, the identity authentication reference information is adjusted based on the face information according to the success of unlocking of the unlocking target by the preset unlocking operation. Since unlocking of the unlocking target fails based on the identity authentication result of the requesting user, but unlocking of the unlocking target succeeds by the preset unlocking operation, it is possible that the requesting user is a user who has unlocking authority, so that the process of performing identity authentication based on the face information and the preset identity authentication reference information can be further optimized. Therefore, by adjusting the identity authentication reference information based on the face information, the accuracy of performing identity authentication based on the face information and the preset identity authentication reference information can be improved, so that the success rate of unlocking is improved and the user experience is improved.

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

In this embodiment, the identity authentication reference information may be a reference face information database, so that in 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 to obtain a degree of match between the face information and the reference face information, and then it is determined whether the degree of match exceeds a degree of match threshold. If the degree of match exceeds the degree of match threshold, it is considered that matching between the obtained face information and the reference face information has been successful, and it can be determined that the requesting user is an authenticated user, i.e., 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 reason why the requesting user's unlocking request using facial information may be that the reference facial information in the reference facial information database does not match the facial information of the requesting user. Therefore, in this case, the acquired facial information can be added to the reference facial information database. This can improve the success rate of unlocking and improve the user experience the next time the requesting user requests unlocking using facial information.

The reference face information database may include reference face information for multiple 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 the 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 a set of reference face information associated with the requesting user in the reference face information database.

In an embodiment of the present disclosure, when the identity authentication reference information includes a reference face information database, the face information can be added to a set of reference face information associated with the requesting user in the reference face information database, thereby improving the success rate of unlocking and improving the user experience the next time the requesting user requests unlocking using face information.

In one possible embodiment, the identity authentication reference information includes a reference parameter for identity authentication. The reference parameter may be a parameter that affects the identity verification result. For example, the reference parameter may be a parameter of an artificial intelligence module for identity authentication, such as a parameter of a pre-set neural network. Thus, if the unlocking of the unlocking target fails based on the identity authentication result of the requesting user, the reference parameter for identity authentication is adjusted based on face information in response to the unlocking of the unlocking target being successfully unlocked by the pre-set unlocking operation, thereby improving the accuracy of identity authentication based on face information and the reference parameter, improving the success rate of unlocking, and improving the user experience.

In one possible embodiment, the reference parameters include parameters of a preset neural network, and performing identity authentication of the requesting user based on the facial information and the preset identity authentication reference information includes verifying whether the requesting user is an authenticated user using the preset neural network based on the facial information, and adjusting the identity authentication reference information based on the facial 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 a neural network may be, for example, parameters such as the weights of the nodes in the neural network. The parameters of a neural network can affect the prediction results of the neural network. In training a neural network, the parameters of the neural network are often adjusted by training samples to optimize the performance of the neural network.

In this embodiment, a pre-configured neural network can be used to verify whether the requesting user is an authenticated user based on the facial information. 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 authentication result.

The pre-configured neural network may be one that has been trained based on training samples. Therefore, training samples can be created using face information, and the parameters of the pre-configured neural network can be adjusted based on the created training samples.

In one possible embodiment, adjusting the parameters of the preset neural network based on the training sample includes: obtaining an output result by inputting the face information to the preset neural network; and, in response to the output result being authentication failure, adjusting the parameters of the preset neural network such that the identity authentication result based on the face information by the adjusted preset neural network is authentication success.

In one possible embodiment, the step of adjusting the pre-set parameters of the neural network based on the training samples may further include iteratively training the neural network with new training samples in which face information is integrated with the existing training samples to adjust the parameters of the neural network.

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

In addition, in a specific training process, if the result of identity authentication based on face information by the preset neural network is unsuccessful, the parameters of the preset neural network can be adjusted so that the result of identity authentication based on face information by the adjusted preset neural network is successful, thereby improving the success rate of identity authentication of the requesting user by the preset neural network, improving the success rate of unlocking when the requesting user unlocks, and improving the user experience.

In one possible embodiment, the reference parameters for identity authentication include a matching threshold for facial information, and performing identity authentication of the requesting user based on the facial information and preset identity authentication reference information includes determining a matching degree between the facial information and facial information of an authenticated user, and determining that authentication of the requesting user is successful when the matching degree between the facial information and facial information of the authenticated user exceeds the matching degree threshold, and adjusting the identity authentication reference information based on the facial information includes adjusting the matching degree threshold lower.

The degree of match here may be, for example, the similarity between the facial information of the requesting user and the facial information of the authenticated user. This similarity may be the cosine similarity between vectors corresponding to the facial information. Since the procedure for determining the similarity between facial information can be referred to in related art, a detailed explanation is omitted here.

Whether or not authentication of the requesting user has been successful can be determined by the matching threshold. The matching degree between the facial information of the requesting user and the facial information of the authenticated user is compared with the matching threshold, and if the matching degree between the facial information of the requesting user and the facial information of the authenticated user exceeds the matching threshold, it is determined that authentication of the requesting user has been successful.

The matching threshold here may be set based on experience or may be dynamically adjusted. The matching threshold may be, for example, 90%. In this case, if the matching between the facial information of the requesting user and the facial information of the authenticated user exceeds 90%, it is determined that authentication of the requesting user is successful.

If the identity authentication result obtained based on the facial information and the matching threshold fails to unlock the target, it is considered that the requesting user is a user with unlocking authority because the target was successfully unlocked by a preset unlocking operation. The failure of the requesting user to request unlocking using facial information may be due to the matching threshold being too high. Therefore, in this case, the matching threshold can be adjusted lower. This will improve the success rate of unlocking the next time the user requests unlocking using facial information, improving the user experience.

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

In one possible embodiment, adjusting the matching threshold downward includes adjusting the matching threshold downward to a target matching threshold in response to the environmental luminance being lower than a predetermined luminance threshold.

In an embodiment of the present disclosure, a failure to unlock based on an identity authentication result obtained based on face information and a matching threshold may be due to low environmental luminance. Therefore, when the environmental luminance is lower than a predetermined luminance threshold, the matching threshold can be adjusted lower to a target matching threshold. This improves the success rate of unlocking when the environmental luminance is low, improving the user experience.

The ambient brightness can be detected by an ambient light sensor that can detect the ambient brightness around the object to be unlocked.

In one possible embodiment, the method further includes detecting whether an occluded area exists in a face corresponding to the face information, and performing identity authentication of the requesting user based on the face information and preset identity authentication reference information includes weighting non-occluded areas in the face information based on a first matching weight to obtain first weighting information and weighting occluded areas in the face information based on a second matching weight to obtain second weighting information in response to detection of an occluded area in the face corresponding to the face information, and performing identity authentication of the requesting user based on the first weighting information and the second weighting information, and adjusting the identity authentication reference information based on the face information includes increasing the first matching weight and/or decreasing the second matching weight in response to detection of an occluded area in the face.

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

There are various ways to determine whether a face is occluded. For example, it can be identified based on the color of the face region. 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, it can be determined that the face is occluded if a target is identified on the face using a target identification method. The target may specifically be a mask, a scarf, glasses, etc. Alternatively, a neural network can be trained to identify occlusion of the face.

After it is determined that the face is occluded, an occluded area can be further identified. Since occluded areas often do not accurately reflect facial features, when an occluded area is detected to be present in a face corresponding to the facial information, in the step of performing identity authentication based on the facial information, the non-occluded area in the facial information is weighted based on the first matching weight to obtain first weighted information, and the occluded area in the facial information is weighted based on the second matching weight to obtain second weighted information, and then identity authentication of the requesting user can be performed based on the first weighted information and the second weighted information.

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

The first and second matching weights adjust the occluded and unoccluded areas in the face information. In the step of performing identity authentication, the larger the weight, the greater the impact on the identity authentication result, while the smaller the weight, the smaller the impact on the identity authentication result.

In an embodiment of the present disclosure, when an occluded area is present on the face, in the step of performing identity authentication based on the facial information, the first matching weight is increased to increase the influence of the non-occluded area in the facial information on the identity authentication result, thereby improving the accuracy of identity authentication. Alternatively, the second matching weight is decreased to reduce the influence of the occluded area in the facial information on the identity authentication result, thereby improving the accuracy of identity authentication when the user's face is occluded by wearing a mask, sunglasses, a hat, etc.

In one possible embodiment, the method further includes, when the unlocking of the unlocking target fails based on the identity authentication result of the requesting user, sending to the requesting user warning information prompting the requesting user to adjust the identity authentication standard information in response to successful unlocking of the unlocking target by a preset unlocking operation, and adjusting the identity authentication standard information based on the face information includes adjusting the identity authentication standard information based on the face information in response to detection that the requesting user has instructed an adjustment in response to the warning information.

In an embodiment of the present disclosure, warning information is sent to the user to warn the user to adjust the identity authentication standard information, and when an instruction to adjust is detected, the identity authentication standard information is adjusted based on the facial information, thereby preventing the identity authentication standard information from being adjusted based on the facial information of an unauthorized user, thereby enhancing safety.

In one possible embodiment, the method further includes obtaining a time interval between the time when the requesting user makes the request and the time when the preset unlock operation is performed, and adjusting the identity authentication reference information based on the facial information includes adjusting the identity authentication reference 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 makes a request and the time when the preset unlocking operation is performed is short, it is highly likely that the two unlockings are performed by the same person, whereas if the time interval is long, it is highly likely that the two unlockings are not performed by the same person. Therefore, in the embodiment of the present disclosure, by setting a time threshold, if the time interval is smaller than the predetermined time threshold, the identity authentication standard information is adjusted based on face information, resulting in high security.

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

Below, an application scene of an embodiment of the present disclosure will be described. In this application scene, the object to be unlocked is the door lock of a vehicle. Before entering the vehicle, the user requests unlocking using his/her face. The identity authentication device in the vehicle door lock acquires the face information of the user using a camera, compares the face information with the reference face information in the reference face information database, and acquires the degree of match between the face information and the reference face information. The identity authentication device determines whether the degree of match exceeds a threshold value, and if the degree of match does not exceed the threshold value, determines that the requesting user is an unauthenticated user, and fails to unlock the door. The user unlocks the door with a key, thereby successfully unlocking the door. After the user enters the vehicle, the vehicle transmits attention information to the user and asks the user whether to add the face information used when unlocking the door using the face to the reference face information database. The vehicle adds the face information to the reference face information database in response to the user giving an instruction for adjustment based on the attention information.

It will be understood that the above method embodiments mentioned in this disclosure can be combined with each other to form embodiments, so long as they do not violate the principles and logic. Due to space limitations, detailed descriptions are omitted in this disclosure. Those skilled in the art will understand that in the above methods according to specific embodiments, the specific execution order of each step is determined by its function and possible inherent logic.

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

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 for acquiring face information requesting unlocking of an unlocking target;
an authentication unit 22 for authenticating the identity of a requesting user who has made the request based on the face information and preset identity authentication reference information;
and an adjustment unit 23 that adjusts the identity authentication standard information based on the face information in response to successful unlocking of the unlock target through a preset unlocking operation when unlocking of the unlock target fails based on the identity authentication result of the requesting user.

In one possible embodiment, the identity authentication reference information comprises a reference face 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 comprise predefined neural network parameters,
The authentication unit 22 verifies whether the requesting user is an authenticated user by using the pre-configured neural network according to the face information;
The adjustment unit 23 uses the face information to create training samples, and adjusts parameters of the pre-configured neural network based on the training samples.

In one possible embodiment, the adjustment unit 23 obtains an output result using the facial information as an input of the pre-configured neural network, and adjusts parameters of the pre-configured neural network in response to the output result being authentication failure, so that the identity authentication result based on the facial information by the adjusted pre-configured neural network is authentication success.

In one possible embodiment, the criteria parameters for identity authentication include a facial information matching threshold,
The authentication unit 22 determines a degree of match between the face information and face information of an authenticated user, and determines that the requesting user has been successfully authenticated if the degree of match between the face information and the face information of the authenticated user exceeds the degree of match threshold;
The adjustment unit 23 adjusts the coincidence threshold lower.

In one possible embodiment, the adjustment unit 23 adjusts the matching threshold lower 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:
a detection unit for detecting whether an occluded area exists in a face corresponding to the face information;
the authentication unit 22, in response to detecting an occluded area in a face corresponding to the face information, weights a non-occluded area in the face information based on a first matching weight to obtain first weighting information, weights a occluded area in the face information based on a second matching weight to obtain second weighting information, and performs identity authentication of the requesting user based on the first weighting information and the second weighting information;
The adjustment unit 23 increases the first matching weight and/or decreases the second matching weight in response to an occluded region being detected in the face.

In one possible embodiment, the device comprises:
and a warning unit configured to, when the unlocking of the unlocking target fails based on the identity authentication result of the requesting user, send warning information to the requesting user to prompt the requesting user to adjust the identity authentication standard information in response to the successful unlocking of the unlocking target through a preset unlocking operation;
The adjustment unit 23 adjusts the identity authentication reference information based on the face information in response to detection that the requesting user has instructed an adjustment in response to the attention-calling information.

In one possible embodiment, the device comprises:
a time interval obtaining unit for obtaining a time interval between a time when the requesting user makes the request and a time when the preset unlocking operation is performed;
The adjustment unit 23 adjusts the identity authentication reference information based on the face information according to the time interval being smaller than a predetermined time threshold.

In one possible embodiment, the object to be unlocked is
This includes at least one of a vehicle door lock, a room door lock, and a ticket barrier.

In some embodiments, the functions or modules of the apparatus provided by the embodiments of the present disclosure can be used to perform the methods described in the above-mentioned method embodiments, and for specific implementations thereof, reference may be made to the description of the above-mentioned method embodiments, and detailed description thereof will be omitted here for brevity.

In the embodiment of the present disclosure, after obtaining face information requesting unlocking of the unlocking target, identity authentication of the requesting user who made the request is performed based on the face information and the preset identity authentication reference information. If unlocking of the unlocking target fails based on the identity authentication result of the requesting user, the identity authentication reference information is adjusted based on the face information according to the success of unlocking of the unlocking target by the preset unlocking operation. Since the unlocking of the unlocking target fails based on the identity authentication result of the requesting user, but the unlocking of the unlocking target succeeds by the preset unlocking operation, it indicates that there is a high probability that the requesting user is a user with unlocking authority, and therefore the process of performing identity authentication based on the face information and the preset identity authentication reference information can be further optimized. Therefore, by adjusting the identity authentication reference information based on the face information, the accuracy of performing identity authentication based on the face information and the preset identity authentication reference information can be improved, thereby improving the success rate of unlocking and improving the user experience.

An embodiment of the present disclosure further provides a computer-readable storage medium having computer program instructions stored thereon, the computer-readable storage medium implementing the above method when executed by a processor. The computer-readable storage medium may be a volatile computer-readable storage medium or a non-volatile computer-readable storage medium.

An embodiment of the present disclosure further provides an electronic device including a processor and a memory for storing instructions executable by the processor, the processor configured to execute the method by calling the instructions stored in the memory.

An embodiment of the present disclosure further provides a computer program product including computer-readable code, the computer-readable code running in an electronic device causing a processor of the electronic device to execute instructions for implementing an identity authentication method according to any one of the above embodiments.

An embodiment of the present disclosure further provides another computer program product for storing computer readable instructions that, when executed, cause a computer to perform an identity authentication method according to any one of the above embodiments.

The electronic device may be provided as a terminal, a 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 terminal such as a mobile phone, a computer, a digital broadcasting terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, or a personal digital assistant.

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

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

The memory 804 is configured to store various types of data to support operation of the electronic device 800. These data include, by way of example, instructions for any application programs or methods operating on the electronic device 800, contact data, phone book data, messages, pictures, videos, and the like. The memory 804 can be implemented by various types of volatile or non-volatile storage devices, such as, 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), magnetic memory, flash memory, magnetic or optical disks, or combinations thereof.

The power component 806 provides power to each component of the electronic device 800. The power component 806 may include a power management system, one or more power sources, and other components associated with power generation, management, and distribution for the electronic device 800.

The multimedia component 808 includes a screen that provides an output interface between the electronic device 800 and a user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). When the screen includes a touch panel, it may be implemented as a touch screen that receives input signals from a user. The touch panel may include one or more touch sensors to detect touches, slides, and gestures on the touch panel. The touch sensors may detect the boundaries of the touch or slide operation as well as the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front camera and/or a rear camera. When the electronic device 800 is in an operational mode, such as a capture mode or an imaging mode, the front camera and/or the rear camera may receive external multimedia data. Each front camera and rear camera may have a fixed optical lens system or a focal length and optical zoom capability.

The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a microphone (MIC) configured to receive an external audio signal when the electronic device 800 is in an operational mode, such as a call mode, a record mode, or a voice recognition mode. The received audio signal may be further stored in the memory 804 or transmitted via the communication component 816. In some embodiments, the audio component 810 further includes a speaker for outputting the audio signal.

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

The sensor component 814 includes one or more sensors for evaluating the state of each aspect 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 the display and keypad of the electronic device 800, and the sensor component 814 can also detect changes in the position of the electronic device 800 or certain components of the electronic device 800, the presence or absence of contact between the user and the electronic device 800, the orientation or acceleration or deceleration of the electronic device 800, and temperature changes of the electronic device 800. The sensor component 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The 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 embodiments, the sensor component 814 may further include an acceleration sensor, a gyro sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 816 is configured to realize wired or wireless communication between the electronic device 800 and other devices. The electronic device 800 can access 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. In an exemplary embodiment, the communication component 816 receives a broadcast signal 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 realized by radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the electronic device 800 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processors (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic elements and may be used to perform the above method.

In an exemplary embodiment, a non-volatile computer-readable storage medium, such as a memory 804, is further provided that includes computer program instructions that, when executed by the processor 820 of the electronic device 800, can cause the method described above to be performed.

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

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

In an exemplary embodiment, a non-volatile computer-readable storage medium, such as memory 1932, is further provided that includes computer program instructions that, when executed by processing component 1922 of electronic device 1900, can cause the method described above to be performed.

The present disclosure may be a system, method and/or computer program product. The 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. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, 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, mechanically encoded devices such as punch cards or slot-in-projection structures on which instructions are stored, and any suitable combination of the above. As used herein, a computer-readable storage medium is not to be construed as a momentary signal itself, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagated through a waveguide or other transmission medium (e.g., pulsed light passing through a fiber optic cable), or electrical signals transmitted through electrical wires.

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

Computer program instructions for carrying out the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine language instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source or target code written in any combination of one or more programming languages, including object-oriented programming languages such as Smalltalk, C++, and general procedural programming languages such as "C" or similar programming languages. The computer-readable program instructions may be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. When a remote computer is involved, 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 an external computer (e.g., via the Internet using an Internet Service Provider). In some embodiments, the state information of the computer-readable program instructions may be used to personalize electronic circuitry, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), to execute the computer-readable program instructions to achieve aspects of the present disclosure.

Although 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, it should be understood that each block of the flowcharts and/or block diagrams, and combinations of blocks in the flowcharts and/or block diagrams, can be implemented by computer-readable program instructions.

These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing device, such that when these instructions are executed by the processor of the computer or other programmable data processing device, an apparatus is produced that performs the functions/operations specified in one or more blocks of the flowcharts and/or block diagrams. 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 device to operate in a particular manner. Thus, a computer-readable storage medium having instructions stored thereon includes an article of manufacture having instructions that perform each aspect of the functions/operations specified in one or more blocks of the flowcharts and/or block diagrams.

The computer-readable program instructions may be loaded into a computer, other programmable data processing device, or other device, and cause the computer, other programmable data processing device, or other device to perform a series of operational steps to generate a computer-implementable process. In this manner, the instructions executed on the computer, other programmable data processing device, or other device implement the functions/operations specified in one or more blocks of the flowcharts and/or block diagrams.

The flowcharts and block diagrams in the drawings illustrate possible system architectures, functions, and operations of systems, methods, and computer program products according to several embodiments of the present disclosure. In this regard, each block in the flowcharts or block diagrams may represent a module, program segment, or part of instructions, which includes one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions depicted in the blocks may be implemented in a different order than that depicted in the drawings. For example, two consecutive blocks may be substantially executed in parallel, or may be executed in a reverse order depending on the function. It should also 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 system based on hardware that performs the specified function or operation, or by a combination of dedicated hardware and computer instructions.

The computer program product may be embodied in hardware, software, or a combination thereof. In an alternative 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 and not exhaustive, and is not limited to the embodiments disclosed. Various modifications and alterations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terms chosen in this specification are intended to favorably interpret the principles, practical applications, or improvements to existing technology of the embodiments, or to allow other skilled in the art to understand the embodiments disclosed in this specification.

Claims (14)

An acquisition unit acquires face information requesting unlocking of an unlocking target;
an authentication unit performs identity authentication of the requesting user who makes the request according to the face information and preset identity authentication reference information;
an adjustment unit, when failing to unlock the unlock target based on the identity authentication result of the requesting user, adjusting the identity authentication reference information based on the face information in response to a success in unlocking the unlock target through a preset unlock operation;
a warning unit, when the unlocking of the unlocking target fails based on an identity authentication result of the requesting user, sending warning information to the requesting user to prompt the requesting user to adjust the identity authentication standard information in response to a success in unlocking of the unlocking target by a preset unlocking operation ;
the object to be unlocked is a door lock of a vehicle,
the preset unlocking operation is an unlocking operation using a key,
The method for identity authentication, characterized in that the attention reminding unit transmits attention reminding information to the requesting user after the requesting user enters a vehicle. The identity authentication reference information includes a reference face information database;
The step of adjusting the identity authentication reference information based on the face information includes:
2. The method of claim 1, further comprising adding the facial information to a set of reference facial information associated with the requesting user in the reference facial information database. The identity authentication method according to claim 1, characterized in that the identity authentication reference information includes reference parameters for identity authentication. The reference parameters include preset parameters of a neural network;
The above-mentioned, performing identity authentication of the requesting user based on the face information and preset identity authentication reference information,
and verifying whether the requesting user is an authorized user using the pre-configured neural network based on the facial information;
The step of adjusting the identity authentication reference information based on the face information includes:
creating training samples using the facial information;
4. The method of claim 3, further comprising: adjusting parameters of the pre-configured neural network based on the training samples. The step of adjusting the parameters of the pre-configured neural network based on the training samples includes:
obtaining an output result by inputting the face information to the preset neural network;
5. The identity authentication method according to claim 4, further comprising: adjusting parameters of the preset neural network so that, in response to the output result being authentication failure, the identity authentication result based on the face information by the adjusted preset neural network is authentication success. The criteria parameters for identity authentication include a facial information matching threshold;
The above-mentioned, performing identity authentication of the requesting user based on the face information and preset identity authentication reference information,
determining a degree of match between the face information and face information of an authenticated user;
In response to the degree of match between the face information and the face information of the authenticated user exceeding the degree of match threshold,
determining that the requesting user has been successfully authenticated;
The step of adjusting the identity authentication reference information based on the face information includes:
The method of claim 3, further comprising adjusting the match threshold lower. The aforementioned adjustment of the degree of coincidence threshold to a lower value includes:
7. The method of claim 6, further comprising adjusting the match threshold lower to a target match threshold in response to an environmental luminance being lower than a predetermined luminance threshold. The detection unit further includes detecting whether an occlusion region exists in a face corresponding to the face information;
The above-mentioned, performing identity authentication of the requesting user based on the face information and preset identity authentication reference information,
in response to detection of an occluded area in a face corresponding to the face information, weighting a non-occluded area in the face information based on a first matching weight to obtain first weighted information, and weighting a occluded area in the face information based on a second matching weight to obtain second weighted information;
and authenticating an identity of the requesting user based on the first weighting information and the second weighting information;
The step of adjusting the identity authentication reference information based on the face information includes:
4. The method of claim 3, further comprising increasing a first matching weight and/or decreasing the second matching weight in response to detection of an occluded area in the face. The step of adjusting the identity authentication reference information based on the face information includes :
The identity authentication method according to any one of claims 1 to 8, characterized in that it includes adjusting the identity authentication standard information based on the facial information in response to detection that the requesting user has instructed an adjustment in response to the warning information. The time interval obtaining unit further includes obtaining a time interval between a time when the requesting user makes the request and a time when the preset unlocking operation is performed;
The step of adjusting the identity authentication reference information based on the face information includes:
The method for identity authentication according to any one of claims 1 to 8, 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. An acquisition unit for acquiring face information requesting unlocking of an unlocking target;
an authentication unit for performing identity authentication of a requesting user who has made the request based on the face information and preset identity authentication reference information;
an adjustment unit that adjusts the identity authentication reference information based on the face information in response to a success in unlocking the unlock target by a preset unlocking operation when the unlocking of the unlock target fails based on an identity authentication result of the requesting user;
a warning unit configured to, when the unlocking of the unlocking target fails based on an identity authentication result of the requesting user, transmit warning information to the requesting user, prompting the requesting user to adjust the identity authentication standard information in response to a success in unlocking of the unlocking target by a preset unlocking operation ;
the object to be unlocked is a door lock of a vehicle,
the preset unlocking operation is an unlocking operation using a key,
The identity authentication device , wherein the attention-calling unit transmits attention-call information to the requesting user after the requesting user enters a vehicle. A processor;
a memory for storing instructions executable by the processor;
The electronic device, characterized in that the processor is configured to execute the identity authentication method according to any one of claims 1 to 10 by calling instructions stored in the memory. A computer-readable storage medium having stored thereon computer program instructions which, when executed by a processor, cause the computer-readable storage medium to implement the identity authentication method according to any one of claims 1 to 10 . A computer program comprising computer readable code, the computer program being characterized in that, when the computer readable code runs on an electronic device, a processor of the electronic device executes instructions for implementing the identity authentication method according to any one of claims 1 to 10 .