CN111898451A - Identity recognition method and device, electronic equipment and computer readable storage medium - Google Patents

Identity recognition method and device, electronic equipment and computer readable storage medium Download PDF

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Publication number
CN111898451A
CN111898451A CN202010620429.6A CN202010620429A CN111898451A CN 111898451 A CN111898451 A CN 111898451A CN 202010620429 A CN202010620429 A CN 202010620429A CN 111898451 A CN111898451 A CN 111898451A
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China
Prior art keywords
image
user
target
database
identity
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CN202010620429.6A
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Chinese (zh)
Inventor
薛红星
胡玮
李坚明
罗振阳
郑凯婷
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China Construction Bank Corp
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China Construction Bank Corp
CCB Finetech Co Ltd
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Priority to CN202010620429.6A priority Critical patent/CN111898451A/en
Publication of CN111898451A publication Critical patent/CN111898451A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/50Maintenance of biometric data or enrolment thereof
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00Individual registration on entry or exit
    • G07C9/30Individual registration on entry or exit not involving the use of a pass
    • G07C9/32Individual registration on entry or exit not involving the use of a pass in combination with an identity check
    • G07C9/37Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition

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  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Collating Specific Patterns (AREA)

Abstract

The embodiment of the application provides an identity identification method, an identity identification device, electronic equipment and a computer readable storage medium. The method comprises the following steps: when a first image of a first target position acquired by first image acquisition equipment is received, determining a target user with the intention of moving to a second target position in the first image; adding first image identification data corresponding to a target user to a preset first image identification database; when a second image is received from a second image capture device at a second target location, the identity of the user in the second image is determined based on the first image recognition database. In the scheme, the first image identification data of the target user is added to the first image identification database, so that the first image identification database has higher pertinence when the user in the second image is identified, the comparison amount of the characteristic data is less, the identification speed can be improved, and the use requirements under the scene with larger pedestrian volume are met.

Description

Identity recognition method and device, electronic equipment and computer readable storage medium
Technical Field
The present application relates to the field of image processing technologies, and in particular, to an identity recognition method, an identity recognition apparatus, an electronic device, and a computer-readable storage medium.
Background
At present, with the rapid development of face recognition technology, face recognition equipment is widely applied, for example, a face recognition device is installed at a gate to identify the identities of people entering and leaving the gate, and the switch of the gate is controlled according to the identity identification condition.
In the existing mode, a large amount of feature data of users are stored in a face recognition database, and when face recognition is performed, feature data in a face image is extracted and compared with feature data in the face recognition database. The existing method needs to compare with a large amount of characteristic data in a face recognition database when face recognition is carried out, the recognition speed is low, and the use requirements under the scene with large pedestrian volume cannot be met.
Disclosure of Invention
The present application aims to solve at least one of the above technical drawbacks. The technical scheme adopted by the application is as follows:
in a first aspect, an embodiment of the present application provides an identity identification method, where the method includes:
when a first image of a first target position acquired by first image acquisition equipment is received, determining a target user with the intention of moving to a second target position in the first image;
adding first image identification data corresponding to a target user to a preset first image identification database;
when a second image is received from a second image capture device at a second target location, the identity of the user in the second image is determined based on the first image recognition database.
Optionally, determining the target user in the first image with the intent to move to the second target position comprises:
identifying a user to be selected in the first image and user characteristic information of the user to be selected;
and determining a target user with the intention of moving to the second target position from the candidate users based on the user characteristic information.
Optionally, the user characteristic information comprises at least one of:
image information of the user's clothing;
the image information of the luggage carried by the user;
behavior information of the user.
Optionally, the second target position is an image capturing position at an entrance of the gate, and the first target position is located at the periphery of the entrance of the gate.
Optionally, if the identity of the designated user in the second image is determined based on the first image recognition database, the method further includes:
constructing a second image identification database based on second image identification data corresponding to the specified user;
upon receiving a third captured image of a third image capture device at a third target location, an identity of the user in the third image is determined based on the second image recognition database.
Optionally, the third target position is an image capture position at the gate exit.
In a second aspect, an embodiment of the present application provides an identity recognition apparatus, including:
the target user determination module is used for determining a target user with the intention of moving to a second target position in a first image when the first image of the first target position acquired by the first image acquisition equipment is received;
the image identification database construction module is used for adding first image identification data corresponding to a target user to a preset first image identification database;
and the identity recognition module is used for determining the identity of the user in the second image based on the first image recognition database when the second image acquired by the second image acquisition equipment at the second target position is received.
Optionally, the image recognition database construction module, when determining that the target user in the first image has the intention to move to the second target position, is specifically configured to:
identifying a user to be selected in the first image and user characteristic information of the user to be selected;
and determining a target user with the intention of moving to the second target position from the candidate users based on the user characteristic information.
Optionally, the user characteristic information comprises at least one of:
image information of the user's clothing;
the image information of the luggage carried by the user;
behavior information of the user.
Optionally, the second target position is an image capturing position at an entrance of the gate, and the first target position is located at the periphery of the entrance of the gate.
Optionally, the identity module is further configured to:
if the identity of the designated user in the second image is determined based on the first image recognition database, constructing a second image recognition database based on second image recognition data corresponding to the designated user;
upon receiving a third captured image of a third image capture device at a third target location, an identity of the user in the third image is determined based on the second image recognition database.
In a third aspect, an embodiment of the present application provides an electronic device, including: a processor and a memory;
a memory for storing operating instructions;
a processor, configured to execute the identity recognition method as shown in any implementation manner of the first aspect of the present application by calling an operation instruction.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the identity recognition method shown in any implementation manner of the first aspect of the present application.
The technical scheme provided by the embodiment of the application has the following beneficial effects:
according to the scheme provided by the embodiment of the application, when a first image of a first target position acquired by first image acquisition equipment is received, a target user with the intention of moving to a second target position in the first image is determined, first image identification data corresponding to the target user is added to a preset first image identification database, and when a second image acquired by second image acquisition equipment at a second target position is received, the identity of the user in the second image is determined based on the first image identification database. In the scheme, the first image identification data of the target user is added to the first image identification database, so that the first image identification database has higher pertinence when the user in the second image is identified, the comparison amount of the characteristic data is less, the identification speed can be improved, and the use requirements under the scene with larger pedestrian volume are met.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the description of the embodiments of the present application will be briefly described below.
Fig. 1 is a schematic flowchart of an identity recognition method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an identification apparatus according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present invention.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 1 shows a schematic flow diagram of an identity recognition method provided in an embodiment of the present application, and as shown in fig. 1, the method mainly includes:
step S110: when a first image of a first target position acquired by first image acquisition equipment is received, determining a target user with the intention of moving to a second target position in the first image;
step S120: adding first image identification data corresponding to a target user to a preset first image identification database;
step S130: when a second image is received from a second image capture device at a second target location, the identity of the user in the second image is determined based on the first image recognition database.
The method provided in the embodiment of the application can be applied to a gate system. Taking the gate system as an example, the first target location may be located outside the gate entrance, such as an aisle and a hall outside the gate entrance. The user needs to pass through the first target location before moving to the gate entry location. The first image capturing device may include, but is not limited to, a camera for video recording of the first target location or for capturing of images of the user.
In the embodiment of the application, the target user can be determined through the first image collected at the first target position, specifically, the first image can be analyzed, and whether the user has the intention of brushing the face and entering the gate at the gate entrance is judged. If the fact that the user is the target user with the intention of brushing the face and entering the gate is determined, first image identification data corresponding to the target user can be obtained. In actual use, a plurality of corresponding first image identification data can be acquired according to the characteristics of the target user, and the identification of the target user can be realized based on the first image identification data.
In the embodiment of the application, the preset first image recognition database stores feature information of a user, for example, face feature data. The identification of the user may be performed from the first image recognition database. And adding the first image identification data to a first image identification database, thereby realizing the identification aiming at the target user.
In the embodiment of the application, the second target position can be located in an image acquisition area of a gate entrance, the second image acquisition device can acquire a face image of a user to obtain a second image, and the second image is subjected to face recognition according to the first image recognition database so as to determine the identity of the user.
Whether the user has the intention of swiping the face to enter the gate or not is analyzed according to the first image, so that the first image identification data of the target user with the intention of swiping the face to enter the gate is added to the first image identification database, when a smaller amount of image identification data is preset in the first image identification database, the user can still be identified through the first image identification data supplemented into the first image identification database, and compared with the method for completing the user identification by directly presetting a large amount of data in the first image identification database, the comparison data quantity is smaller, and therefore the identification speed is higher.
According to the method provided by the embodiment of the application, when a first image of a first target position acquired by first image acquisition equipment is received, a target user with the intention of moving to a second target position in the first image is determined, first image identification data corresponding to the target user is added to a preset first image identification database, and when a second image acquired by second image acquisition equipment at a second target position is received, the identity of the user in the second image is determined based on the first image identification database. In the scheme, the first image identification data of the target user is added to the first image identification database, so that the first image identification database has higher pertinence when the user in the second image is identified, the comparison amount of the characteristic data is less, the identification speed can be improved, and the use requirements under the scene with larger pedestrian volume are met.
In an optional manner of the embodiment of the present application, determining a target user having an intention to move to the second target position in the first image includes:
identifying a user to be selected in the first image and user characteristic information of the user to be selected;
and determining a target user with the intention of moving to the second target position from the candidate users based on the user characteristic information.
In the embodiment of the application, the user characteristic information of the user to be selected in the first image can be identified, and the user characteristic information can reflect the intention of the user to a certain extent, so that the user characteristic information can be used for determining the target user.
Specifically, the user characteristic information includes at least one of:
image information of the user's clothing;
the image information of the luggage carried by the user;
behavior information of the user.
As an example, when the user characteristic information is image information of a user's clothing, the target user may be determined by recognizing a specific clothing, for example, when it is recognized that the user's clothing is a specific uniform, it may be considered that the user is likely a worker and has an intention to enter a gate.
As an example, the user characteristic information is image information of baggage carried, the baggage carried by the user may be identified, for example, at a station, etc., and if it is identified that the user carries a large amount of baggage, it may be inferred that the client is a passenger, and may have an intention to enter a gate.
As an example, the user characteristic information is behavior information of the user, and the behavior information of the user may be action track information of the user, for example, if it is determined from the action track of the user that the user moves straight toward the gate entrance, it may be determined that the user has an intention to enter the gate.
In an optional mode of the embodiment of the application, the second target position is an image acquisition position at an entrance of the gate, and the first target is located on the periphery of the entrance of the gate.
In this embodiment, the second target position may be an image capturing position at an entrance of the gate, and the first target position may be located at a periphery of the entrance of the gate.
In practical use, the second target position may be an image acquisition position for performing face detection, and the first target position may be a must-pass area when moving to the second target position.
In an optional manner of the embodiment of the application, if the identity of the designated user in the second image is determined based on the first image recognition database, the method further includes:
constructing a second image identification database based on second image identification data corresponding to the specified user;
upon receiving a third captured image of a third image capture device at a third target location, an identity of the user in the third image is determined based on the second image recognition database.
In the embodiment of the application, the designated user is a user who passes identity recognition, taking a gate system as an example, that is, the user is permitted to enter the inner side of the gate after face brushing recognition is successful. The second image recognition database may be suggested based on the image recognition data of the specified user for identification of the user at the exit of the gate based on the second image recognition database.
In this embodiment of the application, the third target position may be an image capturing position at the gate exit, that is, when the user leaves the gate from the gate exit, a third image is captured at the third target position, and the user is identified based on the third image.
The second image identification database is constructed based on the two image identification data, namely the image identification database is constructed for the user entering the entrance of the gate. The data volume in the constructed second image recognition database is small, so that the data comparison volume of the user in the third image during identity recognition can be reduced, and the recognition speed is improved.
Based on the same principle as the method shown in fig. 1, fig. 2 shows a schematic structural diagram of an identification apparatus provided in an embodiment of the present application, and as shown in fig. 2, the identification apparatus 20 may include:
the target user determination module 210 is configured to, when receiving a first image of a first target location acquired by a first image acquisition device, determine a target user in the first image with an intention to move to a second target location;
an image identification database construction module 220, configured to add first image identification data corresponding to a target user to a preset first image identification database;
and an identity recognition module 230, configured to, upon receiving a second image captured by the second image capturing device at the second target location, determine an identity of the user in the second image based on the first image recognition database.
The device provided by the embodiment of the application determines a target user with the intention of moving to a second target position in a first image when the first image of the first target position acquired by a first image acquisition device is received, adds first image identification data corresponding to the target user to a preset first image identification database, and determines the identity of the user in a second image based on the first image identification database when the second image acquired by a second image acquisition device at a second target position is received. In the scheme, the first image identification data of the target user is added to the first image identification database, so that the first image identification database has higher pertinence when the user in the second image is identified, the comparison amount of the characteristic data is less, the identification speed can be improved, and the use requirements under the scene with larger pedestrian volume are met.
Optionally, the image recognition database construction module, when determining that the target user in the first image has the intention to move to the second target position, is specifically configured to:
identifying a user to be selected in the first image and user characteristic information of the user to be selected;
and determining a target user with the intention of moving to the second target position from the candidate users based on the user characteristic information.
Optionally, the user characteristic information comprises at least one of:
image information of the user's clothing;
the image information of the luggage carried by the user;
behavior information of the user.
Optionally, the second target position is an image capturing position at an entrance of the gate, and the first target position is located at the periphery of the entrance of the gate.
Optionally, the identity module is further configured to:
if the identity of the designated user in the second image is determined based on the first image recognition database, constructing a second image recognition database based on second image recognition data corresponding to the designated user;
upon receiving a third captured image of a third image capture device at a third target location, an identity of the user in the third image is determined based on the second image recognition database.
It is understood that the above modules of the identification apparatus in this embodiment have functions of implementing the corresponding steps of the identification method in the embodiment shown in fig. 1. The function can be realized by hardware, and can also be realized by executing corresponding software by hardware. The hardware or software includes one or more modules corresponding to the functions described above. The modules can be software and/or hardware, and each module can be implemented independently or by integrating a plurality of modules. For the functional description of each module of the above identity recognition apparatus, reference may be specifically made to the corresponding description of the identity recognition method in the embodiment shown in fig. 1, and details are not repeated here.
The embodiment of the application provides an electronic device, which comprises a processor and a memory;
a memory for storing operating instructions;
and the processor is used for executing the identity recognition method provided by any embodiment of the application by calling the operation instruction.
As an example, fig. 3 shows a schematic structural diagram of an electronic device to which an embodiment of the present application is applicable, and as shown in fig. 3, the electronic device 2000 includes: a processor 2001 and a memory 2003. Wherein the processor 2001 is coupled to a memory 2003, such as via a bus 2002. Optionally, the electronic device 2000 may also include a transceiver 2004. It should be noted that the transceiver 2004 is not limited to one in practical applications, and the structure of the electronic device 2000 is not limited to the embodiment of the present application.
The processor 2001 is applied to the embodiment of the present application to implement the method shown in the above method embodiment. The transceiver 2004 may include a receiver and a transmitter, and the transceiver 2004 is applied to the embodiments of the present application to implement the functions of the electronic device of the embodiments of the present application to communicate with other devices when executed.
The Processor 2001 may be a CPU (Central Processing Unit), general Processor, DSP (Digital Signal Processor), ASIC (Application specific integrated Circuit), FPGA (Field Programmable Gate Array) or other Programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 2001 may also be a combination of computing functions, e.g., comprising one or more microprocessors, DSPs and microprocessors, and the like.
Bus 2002 may include a path that conveys information between the aforementioned components. The bus 2002 may be a PCI (Peripheral Component Interconnect) bus, an EISA (extended industry Standard Architecture) bus, or the like. The bus 2002 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 3, but this does not mean only one bus or one type of bus.
The Memory 2003 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically erasable programmable Read Only Memory), a CD-ROM (Compact disk Read Only Memory) or other optical disk storage, optical disk storage (including Compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these.
Optionally, the memory 2003 is used for storing application program code for performing the disclosed aspects, and is controlled in execution by the processor 2001. The processor 2001 is configured to execute the application program code stored in the memory 2003 to implement the identification method provided in any of the embodiments of the present application.
The electronic device provided by the embodiment of the application is applicable to any embodiment of the method, and is not described herein again.
Compared with the prior art, when a first image of a first target position acquired by a first image acquisition device is received, a target user with intention of moving to a second target position in the first image is determined, first image identification data corresponding to the target user is added to a preset first image identification database, and when a second image acquired by a second image acquisition device at a second target position is received, the identity of the user in the second image is determined based on the first image identification database. In the scheme, the first image identification data of the target user is added to the first image identification database, so that the first image identification database has higher pertinence when the user in the second image is identified, the comparison amount of the characteristic data is less, the identification speed can be improved, and the use requirements under the scene with larger pedestrian volume are met.
The embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the computer program implements the identity recognition method shown in the above method embodiment.
The computer-readable storage medium provided in the embodiments of the present application is applicable to any of the embodiments of the foregoing method, and is not described herein again.
Compared with the prior art, when a first image of a first target position acquired by a first image acquisition device is received, a target user with the intention of moving to a second target position in the first image is determined, first image identification data corresponding to the target user is added to a preset first image identification database, and when a second image acquired by a second image acquisition device at a second target position is received, the identity of the user in the second image is determined based on the first image identification database. In the scheme, the first image identification data of the target user is added to the first image identification database, so that the first image identification database has higher pertinence when the user in the second image is identified, the comparison amount of the characteristic data is less, the identification speed can be improved, and the use requirements under the scene with larger pedestrian volume are met.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a partial embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims (10)

1. An identity recognition method, comprising:
when a first image of a first target position acquired by first image acquisition equipment is received, determining a target user with the intention of moving to a second target position in the first image;
adding first image identification data corresponding to the target user to a preset first image identification database;
when a second image is received from a second image capture device at a second target location, the identity of the user in the second image is determined based on the first image recognition database.
2. The method of claim 1, wherein determining the target user in the first image with the intent to move to the second target position comprises:
identifying a user to be selected in the first image and user characteristic information of the user to be selected;
and determining a target user with the intention of moving to a second target position from the candidate users based on the user characteristic information.
3. The method of claim 2, wherein the user characteristic information comprises at least one of:
image information of the user's clothing;
the image information of the luggage carried by the user;
behavior information of the user.
4. The method of any one of claims 1-3, wherein the second target location is an image capture location at a gate entrance, and the first target location is located at a periphery of the gate entrance.
5. The method of claim 1, wherein if the identity of the specified user in the second image is determined based on the first image recognition database, the method further comprises:
constructing a second image identification database based on second image identification data corresponding to the specified user;
upon receiving a third captured image of a third image capture device at a third target location, determining an identity of a user in the third image based on the second image recognition database.
6. The method of claim 5, wherein the third target location is an image capture location at an exit of a gate.
7. An identification device, comprising:
the target user determination module is used for determining a target user with the intention of moving to a second target position in a first image when the first image of the first target position acquired by a first image acquisition device is received;
the image identification database construction module is used for adding the first image identification data corresponding to the target user to a preset first image identification database;
and the identity recognition module is used for determining the identity of the user in the second image based on the first image recognition database when the second image acquired by the second image acquisition equipment at the second target position is received.
8. The apparatus of claim 7, wherein the image recognition database construction module, when determining that the target user in the first image has the intent to move to the second target location, is specifically configured to:
identifying a user to be selected in the first image and user characteristic information of the user to be selected;
and determining a target user with the intention of moving to a second target position from the candidate users based on the user characteristic information.
9. An electronic device comprising a processor and a memory;
the memory is used for storing operation instructions;
the processor is used for executing the method of any one of claims 1-6 by calling the operation instruction.
10. A computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, carries out the method of any one of claims 1-6.
CN202010620429.6A 2020-07-01 2020-07-01 Identity recognition method and device, electronic equipment and computer readable storage medium Pending CN111898451A (en)

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