WO2019134548A1 - 身份识别的方法、装置及系统 - Google Patents

身份识别的方法、装置及系统 Download PDF

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Publication number
WO2019134548A1
WO2019134548A1 PCT/CN2018/123110 CN2018123110W WO2019134548A1 WO 2019134548 A1 WO2019134548 A1 WO 2019134548A1 CN 2018123110 W CN2018123110 W CN 2018123110W WO 2019134548 A1 WO2019134548 A1 WO 2019134548A1
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WIPO (PCT)
Prior art keywords
user
touch event
touch
video stream
identity
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PCT/CN2018/123110
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English (en)
French (fr)
Inventor
孙健康
张晓博
曾晓东
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阿里巴巴集团控股有限公司
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Publication date
Application filed by 阿里巴巴集团控股有限公司 filed Critical 阿里巴巴集团控股有限公司
Priority to SG11202005553PA priority Critical patent/SG11202005553PA/en
Publication of WO2019134548A1 publication Critical patent/WO2019134548A1/zh
Priority to US16/888,491 priority patent/US20200293760A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/38—Payment protocols; Details thereof
    • G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
    • G06Q20/401—Transaction verification
    • G06Q20/4014—Identity check for transactions
    • G06Q20/40145—Biometric identity checks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168—Feature extraction; Face representation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18—Eye characteristics, e.g. of the iris
    • G06V40/193—Preprocessing; Feature extraction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18—Eye characteristics, e.g. of the iris
    • G06V40/197—Matching; Classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/70—Multimodal biometrics, e.g. combining information from different biometric modalities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques

Definitions

  • the embodiments of the present disclosure relate to the field of identity recognition technologies, and in particular, to a method, device, and system for identity recognition.
  • the embodiments of the present specification provide a method, device and system for identity recognition.
  • an embodiment of the present disclosure provides a method for identifying a first user of a plurality of users on a user side by using an identification device on a network side according to a touch device and a monitoring device.
  • the method includes: recognizing a touch event of the user on the touch device, and acquiring a video stream captured by the monitoring device on the plurality of users; and performing, according to the video stream, the performing the touch event
  • the user is the first user, and acquires the biometric feature of the first user; and identifies the first user according to the biometric feature of the first user.
  • the embodiment of the present disclosure provides an identity identification device, configured to identify, by the identity device on the network side, the identity of the first user of multiple users on the user side according to the touch device and the monitoring device set by the user side.
  • the identification device includes: a touch event recognition unit, configured to identify a touch event of the user on the touch device; and a video stream acquisition unit, configured to acquire a video stream captured by the monitoring device on the multiple users a user locking unit, configured to lock, according to the video stream, a user who performs the touch event as a first user; and a user biometric acquiring unit, configured to acquire a biometric of the first user based on the video stream;
  • An identity identifying unit configured to identify the first user according to the biometric feature of the first user.
  • an embodiment of the present disclosure provides a system for identifying an identity, including a touch device, a monitoring device, and an identification device, configured to identify an identity device on the network side according to the touch device and the monitoring device set by the user side.
  • the first user of the plurality of users on the user side performs identification, wherein: the touch device is used to be touched by the user to perform a touch event; and the monitoring device is configured to acquire video streams of multiple users and And reporting the video stream to the identity device; the identifier device is configured to identify a touch event of the user on the touch device, and, based on the video stream of the monitoring device, lock the first user who performs the touch event and obtain the first User biometrics of the user, and identification based on the biometrics of the user.
  • an embodiment of the present disclosure provides a server, including a memory, a processor, and a computer program stored on the memory and operable on the processor, where the processor executes the program to implement any of the foregoing The steps of the identification method.
  • an embodiment of the present specification provides a computer readable storage medium having stored thereon a computer program, the program being executed by a processor to implement the steps of the identity recognition method according to any one of the above.
  • the user biometric identification is associated with the touch event identification, and only when the user biometric and the execution user of the touch event are the same current user, the current user is performed. Identification, and subsequent follow-up payments based on biometrics. This can effectively avoid the problem of relying on biometrics for identity recognition in a multi-person scenario.
  • a bus pays for a face if the face is brushed, the person may not recognize which one is the current user, so the recognition of the touch event is added on the basis of the brush face. In the case where it is determined that the execution user of the face and the touch event is the same current user, the face payment for the current user is performed.
  • FIG. 1 is a schematic diagram of an application scenario of identity recognition according to an embodiment of the present disclosure
  • FIG. 2 is a flow chart of a method for identity recognition provided by the first aspect of the embodiments of the present specification
  • FIG. 3 is a schematic diagram of an implementation example of an identity recognition method provided by a first aspect of the embodiments
  • FIG. 4 is a schematic diagram of an implementation example 2 of the method for identity recognition provided by the first aspect of the embodiments;
  • Figure 5 is a schematic structural diagram of an identity recognition apparatus provided by a second aspect of the embodiments of the present specification.
  • FIG. 6 is a schematic structural diagram of an identity recognition system provided by a third aspect of the embodiments of the present specification.
  • FIG. 7 is a schematic structural diagram of an identity identification server according to a fourth aspect of the embodiments of the present specification.
  • FIG. 1 is a schematic diagram of an application scenario of identity recognition according to an embodiment of the present disclosure.
  • the monitoring device 10 and the touch device 20 are included on the user side; and the identity recognition device 30 is included on the network side.
  • the monitoring device 10 can be an imaging device for monitoring user biometrics and behaviors, and reporting the monitoring video stream to the identity recognition device 30 in real time.
  • the touch device 20 can be a device in the form of a button or the like that provides a touch for the user for being touched by the user to perform a touch event, and the touch device 20 can be associated with the identification device 30.
  • the identity recognition device 30 may be an identification management system (server) located on the network side for identifying a touch event and determining a user biometric of the user performing the touch event, and performing identity recognition according to the user biometric.
  • server identification management system
  • an embodiment of the present disclosure provides an identity identification method, where an identity device on a network side authenticates a first user of multiple users on a user side according to a touch device and a monitoring device set by a user side. Identification, wherein the scene on the user side is: brush face payment and/or iris payment scene, brush face entry and/or iris entering scene, brush face car and/or iris boarding scene, and the like.
  • the above method includes S201-S203.
  • S201 Identify a touch event of the user on the touch device, and acquire a video stream captured by the monitoring device for multiple users.
  • the touch device can be a device in the form of a button or the like.
  • a touch event is performed when the user presses the button.
  • the touch event may be directly reported to the identification device by the touch device, or may be performed by the identity recognition device based on the video stream reported by the monitoring device (the monitoring device monitors the touch behavior of the user on the touch device). Identify touch events.
  • S202 Based on the video stream, the user who performs the touch event is locked as the first user, and acquires the biometric of the first user.
  • the monitoring device monitors the user and transmits the monitored video stream to the identity device in real time.
  • the identification device acquires the user biometrics of the user who performs the touch event after performing operations such as image analysis and processing based on the video stream of the monitoring device.
  • User biometrics include, but are not limited to, user faces, user irises, user behavior characteristics, and the like.
  • the process of acquiring the biometric feature of the first user is: performing image analysis on the video stream corresponding to the first user to obtain an image of the first user; performing biometric feature extraction based on the image of the first user to obtain biometric characteristics of the first user .
  • the process of recognizing a touch event of the user on the touch device is: when the user performs a touch event on the touch device, the touch device reports the touch event to the identity recognition device;
  • the method for the user to perform the touch event based on the video stream is the first user: determining the touch event timestamp according to the touch event reported by the touch device; and the video stream reported from the monitoring device The video stream corresponding to the timestamp is searched, and the user in the video stream corresponding to the timestamp is identified as the first user; and the video stream captured by the monitoring device for multiple users is used.
  • the process of recognizing a touch event of the user on the touch device is: monitoring, by the monitoring device, the behavior of the user performing the touch event on the touch device, and reporting the touch to the identification device, including the touch a video stream of the event execution behavior; correspondingly, the process of locking the user performing the touch event based on the video stream as the first user is: determining the execution of the touch event by image analysis of the video stream performing the behavior including the touch event The user is the first user.
  • S203 Identify the first user according to the biometric feature of the first user.
  • a user After acquiring the biometrics of the first user, by comparing the acquired biometrics of the first user with the pre-existing user identity features, if the biometric features of the first user are included in the pre-existing user identity features, determining A user is a pre-stored user.
  • the identification result can also be confirmed, and the information of the identification result is transmitted.
  • the recognition is completed by means of sound or text.
  • the user identification result is a pre-stored user (for example, a legitimate user, a privileged user, or a balance user)
  • the information such as “legal user” or “payment completion” (such as in the face payment scenario) is played through the voice.
  • FIG. 3 is a schematic diagram of an implementation of an example of an identity recognition method according to a first aspect of the present disclosure.
  • the first example shows how to implement the identification of the user in the identification device according to the touch device and the monitoring device; wherein in the first example, the touch device has a communication function with the identification device when the user performs When a touch event occurs, the touch device reports the touch event to the identification device.
  • the monitoring device monitors the user biometrics of the current user; at about the same time, the user performs a touch event on the touch device.
  • the “monitoring device monitors the user biometric of the current user” and the “user performs the touch event on the touch device” may have a sequential order, which of the preceding ones has no effect on the implementation of the embodiment of the present invention.
  • the touch device recognizes the touch event and reports the touch event to the identity recognition device; at about the same time, the monitoring device reports the monitored video stream of the user biometric of the current user to the identity recognition device.
  • the “touch device recognizes the touch event and reports the touch event to the identification device” and the “monitoring device reports the monitored video stream of the user biometric of the current user to the identification device” may be in a sequential order. Which of the preceding ones has no effect on the implementation of the embodiments of the present invention.
  • the identification device determines the touch event timestamp, and determines the user biometric correspondingly from the video stream reported by the monitoring device according to the timestamp, and determines that the touch event is performed.
  • User's user biometrics For example, the time of the touch event is determined by the timestamp is 16:05:30; the corresponding video stream is searched according to the time; or the corresponding video stream can be searched for a certain period of time before and after the time, for example, the video stream of 5s before and after is searched. That is to find the video stream of 16:05:25-16:06:35 time period.
  • User biometrics can be obtained through image analysis and processing of the video stream.
  • the identification device identifies the user by comparing the acquired user biometrics with pre-stored user identity features. After the identification, the identification result can also be confirmed, and the information of the identification result is transmitted. For example, the recognition is completed by means of sound or text. For example, when the user identification result is a legitimate user, the information such as “legitimate user” or “payment completion” (such as in the face payment scenario) is played through the voice.
  • FIG. 4 it is a schematic diagram of an implementation example 2 of the method for identity recognition provided by the first aspect of the embodiments.
  • the example 2 shows how the identification of the user is implemented in the identity recognition device by the linkage of the touch device with the monitoring device; wherein in the second example, the monitoring device not only monitors the biometric characteristics of the user but also The user monitors the touch behavior of the touch device.
  • the identification device identifies the touch event by analyzing the video stream reported by the monitoring device.
  • the monitoring device monitors the user and monitors the user's touch behavior on the touch device; at about the same time, the user performs a touch event on the touch device.
  • the "monitoring device monitoring” and the “user performing a touch event on the touch device” may be in a sequential order, which of the preceding ones has no effect on the implementation of the embodiment of the present invention.
  • the monitoring device reports the monitored video stream containing the user biometric of the current user and the touch behavior of the user on the touch device to the identity recognition device.
  • the identification device identifies the touch event of the user by analyzing the image of the video stream; and identifies the user of the user who performs the touch event while recognizing the touch event of the user by analyzing the image of the video stream.
  • Biological characteristics For example, by image analysis of the video stream, the current user performing the touch time can be locked and then the biometric of the current user can be obtained.
  • the identity identifying device identifies whether the user is legitimate by comparing the acquired user biometrics with pre-stored legal user identity features. After the identification, the identification result can also be confirmed, and the information of the identification result is transmitted. For example, the recognition is completed by means of sound or text. For example, when the user identification result is a legitimate user, the information such as “legitimate user” or “payment completion” (such as in the face payment scenario) is played through the voice.
  • the user biometric identification is associated with the touch event identification, and only when the user biometric and the execution user of the touch event are the same current user, the current The user's identity is identified, and subsequent operations such as payment based on biometrics are performed. This can effectively avoid the problem of relying on biometrics for identity recognition in a multi-person scenario.
  • a specific application scenario for example, in a scene where a bus pays for a face, if the face is brushed, the person may not recognize which one is the current user, so the recognition of the touch event is added on the basis of the brush face. In the case where it is determined that the execution user of the face and the touch event is the same current user, the face payment for the current user is performed. For example, in the access control scenario, if there are many people, the recognition of the touch event can be increased on the basis of the brush face, and the pair is determined to be the same current user when the face and the touch event are executed. The current user's permission to enter.
  • an embodiment of the present disclosure provides an identity identification device, which is used by a network-side identity recognition device to a plurality of users on a user side according to a touch device and a monitoring device set by a user side.
  • the first user performs identification.
  • the identity recognition apparatus includes:
  • a touch event recognition unit 501 configured to identify a touch event of the user on the touch device
  • a video stream obtaining unit 502 configured to acquire a video stream captured by the monitoring device for the multiple users
  • a user locking unit 503 configured to lock, according to the video stream, a user who performs the touch event as a first user
  • a user biometric acquiring unit 504 configured to acquire biometric features of the first user based on the video stream
  • the identity identifying unit 505 is configured to identify the first user according to the biometric feature of the first user.
  • the touch event identification unit 501 is specifically configured to: after the user performs the touch event on the touch device, receive a touch event reported by the touch device.
  • the user locking unit 503 is specifically configured to: determine the touch event timestamp according to the touch event reported by the touch device; and search and search from the video stream reported by the monitoring device.
  • the video stream corresponding to the timestamp identifies that the user in the video stream corresponding to the timestamp is the first user.
  • the touch event identification unit 501 is specifically configured to: receive a video stream that is reported by the monitoring device and includes a touch event execution behavior.
  • the user locking unit 503 is specifically configured to: determine, by using an image analysis of the video stream that performs a behavior including the touch event, that the user who performs the touch event is the first user.
  • the user biometric acquiring unit 504 is specifically configured to:
  • Biometric extraction is performed based on the image of the first user to obtain a biometric of the first user.
  • the identity identifying unit 505 is specifically configured to: compare the acquired biometrics of the first user with pre-stored user identity features; if the biometric features of the first user include In the pre-stored user identity feature, it is determined that the first user is a pre-stored user.
  • the method further includes:
  • the identification confirmation unit 506 is configured to confirm the identification result and perform information transmission of the identification result.
  • the scene on the user side is: brush face payment and/or iris payment scene, brush face entry and/or iris entering scene, brush face car and/or iris boarding scene.
  • an embodiment of the present disclosure provides an identity recognition system.
  • the touch device 601, the monitoring device 602, and the identity recognition device 603 are provided for the touch device 601 according to the user side.
  • the monitoring device 602, the identification device 603 on the network side identifies the first user of the plurality of users on the user side, wherein:
  • the touch device 601 is configured to be touched by a user to perform a touch event
  • the monitoring device 602 is configured to acquire video streams of multiple users and report the video stream to the identity recognition device 603.
  • the identification device 603 is configured to identify a touch event of the user on the touch device 601, and based on the video stream of the monitoring device 602, lock the first user who performs the touch event and acquire the user biometric of the first user. And identifying the biometrics of the user.
  • the touch device 601 is configured to acquire a touch event of the user, and report the touch event to the identity recognition device 603;
  • the identity recognition device 603 is specifically configured to report a touch event to the identity recognition device 603 by the touch device 601 after the user performs the touch event on the touch device 601.
  • the identity recognition device 603 is specifically configured to: determine, according to the touch event reported by the touch device 601, the touch event timestamp; from the video stream reported by the monitoring device 602. The video stream corresponding to the timestamp is searched, and the user in the video stream corresponding to the timestamp is identified as the first user.
  • the monitoring device 602 is further configured to monitor a behavior of the user performing a touch event on the touch device 601, and report the video stream including the touch event execution behavior to the identity recognition device 603.
  • the identity identifying apparatus 603 is further configured to determine, by using an image analysis of the video stream that performs a behavior including the touch event, that the user who performs the touch event is the first user.
  • the identity identifying apparatus 603 is specifically configured to: perform image analysis on a video stream corresponding to the first user, to obtain an image of the first user; and display an image based on the first user Biometric extraction is performed to obtain biometric characteristics of the first user.
  • the identity identifying apparatus 603 is specifically configured to: compare the acquired biometrics of the first user with pre-stored user identity features; if the biometric features of the first user include In the pre-stored user identity feature, it is determined that the first user is a pre-stored user.
  • the identity recognition device 603 is further configured to: confirm the identity recognition result, and perform information transmission of the identity recognition result.
  • the scene on the user side is: brush face payment and/or iris payment scene, brush face entry and/or iris entering scene, brush face car and/or iris boarding scene.
  • the present invention further provides a server, as shown in FIG. 7, including a memory 704, a processor 702, and a memory 704 and may be in the processor.
  • a server as shown in FIG. 7, including a memory 704, a processor 702, and a memory 704 and may be in the processor.
  • bus 700 can include any number of interconnected buses and bridges, and bus 700 will include one or more processors and memory 704 represented by processor 702.
  • the various circuits of the memory are linked together.
  • the bus 700 can also link various other circuits, such as peripherals, voltage regulators, and power management circuits, as is known in the art and, therefore, will not be further described herein.
  • Bus interface 706 provides an interface between bus 700 and receiver 701 and transmitter 703.
  • Receiver 701 and transmitter 703 may be the same component, i.e., a transceiver, providing means for communicating with various other devices on a transmission medium.
  • Processor 702 is responsible for managing bus 700 and normal processing, while memory 704 can be used to store data used by processor 702 in performing operations.
  • the present invention further provides a computer readable storage medium having stored thereon a computer program, the program being implemented by the processor to implement the foregoing identification method The steps of either method.
  • the computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device.
  • a device implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of a flowchart.
  • These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device.
  • the instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

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Abstract

一种身份识别的方法，将用户生物特征识别与触碰事件识别相联系，只有用户生物特征与触碰事件的执行用户是同一个当前用户的情况下，才进行对当前用户的身份识别。这可有效避免在人多场景下仅依靠生物特征进行身份识别而无效的问题。

Description

身份识别的方法、装置及系统 技术领域
本说明书实施例涉及身份识别技术领域，尤其涉及一种身份识别的方法、装置及系统。
背景技术
网络社会中，如何识别出用户的身份，是实现网络交易(网络金融)及智能支付(刷脸支付)的前提。
发明内容
本说明书实施例提供及一种身份识别的方法、装置及系统。
第一方面，本说明书实施例提供一种身份识别的方法，用于根据用户侧设置的触碰设备和监控设备，在网络侧的身份识别装置对用户侧的多个用户中的第一用户进行身份识别；所述方法包括：识别出用户在触碰设备上的触碰事件，并获取监控设备对所述多个用户拍摄的视频流；基于所述视频流，锁定执行所述触碰事件的用户为第一用户，并获取所述第一用户的生物特征；根据所述第一用户的生物特征对第一用户进行身份识别。
第二方面，本说明书实施例提供一种身份识别装置，用于根据用户侧设置的触碰设备和监控设备，在网络侧的身份识别装置对用户侧的多个用户中的第一用户进行身份识别，所述身份识别装置包括：触碰事件识别单元，用于识别出用户在触碰设备上的触碰事件；视频流获取单元，用于获取监控设备对所述多个用户拍摄的视频流用户锁定单元，用于基于所述视频流，锁定执行所述触碰事件的用户为第一用户；用户生物特征获取单元，用于基于所述视频流，获取所述第一用户的生物特征；身份识别单元，用于根据所述第一用户的生物特征对第一用户进行身份识别。
第三方面，本说明书实施例提供一种身份识别的系统，包括触碰设备、监控设备和身份识别装置，用于根据用户侧设置的触碰设备和监控设备，在网络侧的身份识别装置 对用户侧的多个用户中的第一用户进行身份识别，其中：所述触碰设备，用于被用户触碰从而执行触碰事件；所述监控设备，用于获取多个用户的视频流并向身份识别装置上报视频流；所述身份识别装置，用于识别出用户在触碰设备上的触碰事件，并基于监控设备的视频流，锁定执行触碰事件的第一用户并获取第一用户的用户生物特征，以及，根据所述用户生物特征进行身份识别。
第四方面，本说明书实施例提供一种服务器，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述程序时实现上述任一项所述身份识别方法的步骤。
第五方面，本说明书实施例提供一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现上述任一项所述身份识别方法的步骤。
本说明书实施例有益效果如下：
通过本发明实施例提供的身份识别方法，将用户生物特征识别与触碰事件识别相联系，只有用户生物特征与触碰事件的执行用户是同一个当前用户的情况下，才进行对当前用户的身份识别，并进行后续的依据生物特征进行支付等操作。这可有效避免在人多场景下仅依靠生物特征进行身份识别而无效的问题。
以一个具体应用场景说明，例如，在公交车刷脸支付的场景，如果单凭刷脸可能由于人多识别不出哪个是当前用户，因此在刷脸基础上，增加了触碰事件的识别，在确定人脸与触碰事件的执行用户是同一个当前用户的情况下，才进行对当前用户的刷脸支付。
附图说明
图1为本说明书实施例身份识别应用场景示意图；
图2本说明书实施例第一方面提供的身份识别的方法流程图；
图3本说明书实施例第一方面提供的身份识别的方法示例一实现示意图；
图4本说明书实施例第一方面提供的身份识别的方法示例二实现示意图；
图5本说明书实施例第二方面提供的身份识别装置结构示意图；
图6本说明书实施例第三方面提供的身份识别系统结构示意图；
图7本说明书实施例第四方面提供的身份识别服务器结构示意图。
具体实施方式
为了更好的理解上述技术方案，下面通过附图以及具体实施例对本说明书实施例的技术方案做详细的说明，应当理解本说明书实施例以及实施例中的具体特征是对本说明书实施例技术方案的详细的说明，而不是对本说明书技术方案的限定，在不冲突的情况下，本说明书实施例以及实施例中的技术特征可以相互组合。
参见图1，为本说明书实施例身份识别应用场景示意图。在用户侧包括监控设备10、触碰设备20；在网络侧包括身份识别装置30。监控设备10可以是摄像设备，用于监控用户生物特征及行为，并将监控视频流实时上报给身份识别装置30。触碰设备20可以是为用户提供触碰的一个按钮等形式的设备，用于被用户触碰从而执行触碰事件，触碰设备20可以与身份识别装置30。身份识别装置30可以是位于网络侧的识别管理系统(服务器)，用于识别出触碰事件并确定执行触碰事件的用户的用户生物特征，根据用户生物特征进行身份识别。
第一方面，本说明书实施例提供一种身份识别方法，用于根据用户侧设置的触碰设备和监控设备，在网络侧的身份识别装置对用户侧的多个用户中的第一用户进行身份识别，其中用户侧的场景为：刷脸支付和/或虹膜支付场景、刷脸进入和/或虹膜进入场景、刷脸上车和/或虹膜上车场景等。
请参考图2，上述方法包括S201-S203。
S201：识别出用户在触碰设备上的触碰事件，并获取监控设备对多个用户拍摄的视频流。
触碰设备可以是按钮等形式存在的一个设备。当用户按下按钮时即执行了触碰事件。该触碰事件可以由触碰设备直接报告给身份识别装置，也可以由身份识别装置基于监控设备上报的视频流(监控设备对用户在触碰设备上的触碰行为进行监控)进行图像分析后识别出触碰事件。
S202：基于视频流，锁定执行触碰事件的用户为第一用户，并获取第一用户的生物特征。
监控设备监控用户并将监控的视频流实时发送给身份识别装置。身份识别装置基于 监控设备的视频流，进行图像分析及处理等操作后，可获取执行触碰事件的用户的用户生物特征。用户生物特征包括但不限于用户人脸、用户虹膜、用户行为特征等。例如，获取第一用户的生物特征的过程为：对第一用户对应的视频流进行图像分析，得到第一用户的图像；基于第一用户的图像进行生物特征提取，得到第一用户的生物特征。
在一种实现方式中，识别出用户在触碰设备上的触碰事件的过程为：当用户在触碰设备上执行触碰事件之后，由触碰设备将触碰事件报告给身份识别装置；相应的，基于所述视频流锁定执行触碰事件的用户为第一用户的方式为：根据所述触碰设备上报的触碰事件，确定触碰事件时间戳；从监控设备上报的视频流中查找与时间戳对应的视频流，识别出时间戳对应的视频流中的用户为第一用户；基于监控设备对多个用户拍摄的视频流。
在另一种实现方式中，识别出用户在触碰设备上的触碰事件的过程为：由监控设备监控用户在触碰设备上执行触碰事件的行为，并向身份识别装置上报包括触碰事件执行行为的视频流；相应的，基于所述视频流锁定执行触碰事件的用户为第一用户的过程为：通过对包括触碰事件执行行为的视频流的图像分析，确定执行触碰事件的用户为第一用户。
S203：根据第一用户的生物特征对第一用户进行身份识别。
在获取到第一用户的生物特征之后，通过将获取的第一用户的生物特征与预存的用户身份特征进行比对，如果第一用户的生物特征包括在预存的用户身份特征中，则确定第一用户为预存用户。
在进行身份识别之后，还可以对身份识别结果进行确认，并进行身份识别结果的信息传达。例如通过声音或文字等形式的方式提示识别完成。比如，当用户身份识别结果为预存用户(例如合法用户、有权限用户或有余额用户)时，通过声音播放如“合法用户”或“支付完成”(如在刷脸支付场景下)等信息。
参见图3，为本说明书实施例第一方面提供的身份识别的方法示例一实现示意图。该示例一中示出了如何根据触碰设备与监控设备、在身份识别装置实现对用户的身份识别的过程；其中在该示例一中，触碰设备与身份识别装置具有通信功能，当用户执行触碰事件时，由触碰设备将触碰事件报告给身份识别装置。
首先，监控设备监控到当前用户的用户生物特征；几乎同时，用户在触碰设备上执行触碰事件。当然，“监控设备监控到当前用户的用户生物特征”与“用户在触碰设备上 执行触碰事件”可以有先后顺序，哪个在先哪个在后对本发明实施例的实现没有影响。
然后，触碰设备识别出触碰事件并将触碰事件报告给身份识别装置；几乎同时，监控设备将监控到的当前用户的用户生物特征的视频流上报给身份识别装置。当然，“触碰设备识别出触碰事件并将触碰事件报告给身份识别装置”与“监控设备将监控到的当前用户的用户生物特征的视频流上报给身份识别装置”可以有先后顺序，哪个在先哪个在后对本发明实施例的实现没有影响。
接着，身份识别装置在接收到触碰设备的触碰事件报告后，确定触碰事件时间戳，并根据时间戳从监控设备上报的视频流中对应查找用户生物特征，确定出执行触碰事件的用户的用户生物特征。例如通过时间戳确定触碰事件发生时间是16:05:30；则按照该时间查找对应视频流；也可以在该时刻的前后一定时间段内查找对应的视频流，例如查找前后5s的视频流即查找16:05:25-16:06:35时间段的视频流。通过视频流的图像分析及处理，可获取到用户生物特征。
最后，身份识别装置通过将获取的所述用户生物特征与预存的用户身份特征进行比对，识别用户。在进行身份识别之后，还可以对身份识别结果进行确认，并进行身份识别结果的信息传达。例如通过声音或文字等形式的方式提示识别完成。比如，当用户身份识别结果为合法用户时，通过声音播放如“合法用户”或“支付完成”(如在刷脸支付场景下)等信息。
参见图4，为本说明书实施例第一方面提供的身份识别的方法示例二实现示意图。该示例二中示出了如何通过触碰设备与监控设备的联动、在身份识别装置实现对用户的身份识别的过程；其中在该示例二中，监控设备不但对用户的生物特征进行监控并且对用户在触碰设备的触碰行为进行监控，当用户执行触碰事件时，由身份识别装置通过分析监控设备上报的视频流进行触碰事件的识别。
首先，监控设备监控用户，并且对用户在触碰设备的触碰行为进行监控；几乎同时，用户在触碰设备上执行触碰事件。当然，“监控设备监控”与“用户在触碰设备上执行触碰事件”可以有先后顺序，哪个在先哪个在后对本发明实施例的实现没有影响。
然后，监控设备将监控到的包含当前用户的用户生物特征及用户在触碰设备上的触碰行为的视频流上报给身份识别装置。
接着，身份识别装置通过对视频流的图像分析，识别出用户的触碰事件；并通过对视频流的图像分析，识别出用户的触碰事件的同时，识别出执行触碰事件的用户的用户 生物特征。例如，通过对视频流的图像分析，可锁定执行触碰时间的当前用户，然后获取该当前用户的生物特征。
最后，身份识别装置通过将获取的所述用户生物特征与预存的合法用户身份特征进行比对，识别出用户是否合法。在进行身份识别之后，还可以对身份识别结果进行确认，并进行身份识别结果的信息传达。例如通过声音或文字等形式的方式提示识别完成。比如，当用户身份识别结果为合法用户时，通过声音播放如“合法用户”或“支付完成”(如在刷脸支付场景下)等信息。
可见，通过本发明实施例提供的身份识别方法，将用户生物特征识别与触碰事件识别相联系，只有用户生物特征与触碰事件的执行用户是同一个当前用户的情况下，才进行对当前用户的身份识别，并进行后续的依据生物特征进行支付等操作。这可有效避免在人多场景下仅依靠生物特征进行身份识别而无效的问题。
以一个具体应用场景说明，例如，在公交车刷脸支付的场景，如果单凭刷脸可能由于人多识别不出哪个是当前用户，因此在刷脸基础上，增加了触碰事件的识别，在确定人脸与触碰事件的执行用户是同一个当前用户的情况下，才进行对当前用户的刷脸支付。再比如，在门禁场景下，如果人多情况，可以在刷脸基础上，增加触碰事件的识别，在确定人脸与触碰事件的执行用户是同一个当前用户的情况下，才进行对当前用户的允许进入。
第二方面，基于同一发明构思，本说明书实施例提供一种身份识别装置，用于根据用户侧设置的触碰设备和监控设备，在网络侧的身份识别装置对用户侧的多个用户中的第一用户进行身份识别，参见图5，所述身份识别装置包括：
触碰事件识别单元501，用于识别出用户在触碰设备上的触碰事件；
视频流获取单元502，用于获取监控设备对所述多个用户拍摄的视频流
用户锁定单元503，用于基于所述视频流，锁定执行所述触碰事件的用户为第一用户；
用户生物特征获取单元504，用于基于所述视频流，获取所述第一用户的生物特征；
身份识别单元505，用于根据所述第一用户的生物特征对第一用户进行身份识别。
在一种可选的方式中，所述触碰事件识别单元501具体用于：当用户在触碰设备上执行所述触碰事件之后，接收由所述触碰设备上报的触碰事件。
在一种可选的方式中，所述用户锁定单元503具体用于：根据所述触碰设备上报的触碰事件，确定所述触碰事件时间戳；从监控设备上报的视频流中查找与所述时间戳对应的视频流，识别出所述时间戳对应的视频流中的用户为所述第一用户。
在一种可选的方式中，所述触碰事件识别单元501具体用于：接收由监控设备上报的包括触碰事件执行行为的视频流。
在一种可选的方式中，所述用户锁定单元503具体用于：通过对所述包括触碰事件执行行为的视频流的图像分析，确定执行所述触碰事件的用户为第一用户。
在一种可选的方式中，所述用户生物特征获取单元504具体用于：
对所述第一用户对应的视频流进行图像分析，得到所述第一用户的图像；
基于所述第一用户的图像进行生物特征提取，得到所述第一用户的生物特征。
在一种可选的方式中，所述身份识别单元505具体用于：将获取的所述第一用户的生物特征与预存的用户身份特征进行比对；如果所述第一用户的生物特征包括在所述预存的用户身份特征中，则确定所述第一用户为预存用户。
在一种可选的方式中，还包括：
识别确认单元506，用于对身份识别结果进行确认，并进行身份识别结果的信息传达。
在一种可选的方式中，所述用户侧的场景为：刷脸支付和/或虹膜支付场景、刷脸进入和/或虹膜进入场景、刷脸上车和/或虹膜上车场景。
第三方面，基于同一发明构思，本说明书实施例提供一种身份识别系统，参见图6，包括触碰设备601、监控设备602和身份识别装置603，用于根据用户侧设置的触碰设备601和监控设备602，在网络侧的身份识别装置603对用户侧的多个用户中的第一用户进行身份识别，其中：
所述触碰设备601，用于被用户触碰从而执行触碰事件；
所述监控设备602，用于获取多个用户的视频流并向身份识别装置603上报视频流；
所述身份识别装置603，用于识别出用户在触碰设备601上的触碰事件，并基于监控设备602的视频流，锁定执行触碰事件的第一用户并获取第一用户的用户生物特征，以及，根据所述用户生物特征进行身份识别。
在一种可选的方式中，
所述触碰设备601，用于获取用户的触碰事件，并将触碰事件报告给身份识别装置603；
所述身份识别装置603具体用于：当用户在触碰设备601上执行所述触碰事件之后，由所述触碰设备601将触碰事件报告给身份识别装置603。
在一种可选的方式中，所述身份识别装置603具体用于：根据所述触碰设备601上报的触碰事件，确定所述触碰事件时间戳；从监控设备602上报的视频流中查找与所述时间戳对应的视频流，识别出所述时间戳对应的视频流中的用户为所述第一用户。
在一种可选的方式中，所述监控设备602还用于，监控用户在触碰设备601上执行触碰事件的行为，并向身份识别装置603上报包括触碰事件执行行为的视频流。
在一种可选的方式中，所述身份识别装置603还用于，通过对所述包括触碰事件执行行为的视频流的图像分析，确定执行所述触碰事件的用户为第一用户。
在一种可选的方式中，所述身份识别装置603具体用于：对所述第一用户对应的视频流进行图像分析，得到所述第一用户的图像；基于所述第一用户的图像进行生物特征提取，得到所述第一用户的生物特征。
在一种可选的方式中，所述身份识别装置603具体用于：将获取的所述第一用户的生物特征与预存的用户身份特征进行比对；如果所述第一用户的生物特征包括在所述预存的用户身份特征中，则确定所述第一用户为预存用户。
在一种可选的方式中，所述身份识别装置603还用于：对身份识别结果进行确认，并进行身份识别结果的信息传达。
在一种可选的方式中，所述用户侧的场景为：刷脸支付和/或虹膜支付场景、刷脸进入和/或虹膜进入场景、刷脸上车和/或虹膜上车场景。
第四方面，基于与前述实施例中身份识别方法同样的发明构思，本发明还提供一种服务器，如图7所示，包括存储器704、处理器702及存储在存储器704上并可在处理器702上运行的计算机程序，所述处理器702执行所述程序时实现前文所述身份识别方法的任一方法的步骤。
其中，在图7中，总线架构(用总线700来代表)，总线700可以包括任意数量的互联的总线和桥，总线700将包括由处理器702代表的一个或多个处理器和存储器704代 表的存储器的各种电路链接在一起。总线700还可以将诸如外围设备、稳压器和功率管理电路等之类的各种其他电路链接在一起，这些都是本领域所公知的，因此，本文不再对其进行进一步描述。总线接口706在总线700和接收器701和发送器703之间提供接口。接收器701和发送器703可以是同一个元件，即收发机，提供用于在传输介质上与各种其他装置通信的单元。处理器702负责管理总线700和通常的处理，而存储器704可以被用于存储处理器702在执行操作时所使用的数据。
第五方面，基于与前述实施例中身份识别方法的发明构思，本发明还提供一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现前文所述身份识别方法的任一方法的步骤。
本说明书是参照根据本说明书实施例的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的设备。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令设备的制造品，该指令设备实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
尽管已描述了本说明书的优选实施例，但本领域内的技术人员一旦得知了基本创造性概念，则可对这些实施例作出另外的变更和修改。所以，所附权利要求意欲解释为包括优选实施例以及落入本说明书范围的所有变更和修改。
显然，本领域的技术人员可以对本说明书进行各种改动和变型而不脱离本说明书的精神和范围。这样，倘若本说明书的这些修改和变型属于本说明书权利要求及其等同技 术的范围之内，则本说明书也意图包含这些改动和变型在内。

Claims (29)

  1. 一种身份识别的方法，用于根据用户侧设置的触碰设备和监控设备，在网络侧的身份识别装置对用户侧的多个用户中的第一用户进行身份识别；所述方法包括：
    识别出用户在触碰设备上的触碰事件，并获取监控设备对所述多个用户拍摄的视频流；
    基于所述视频流，锁定执行所述触碰事件的用户为第一用户，并获取所述第一用户的生物特征；
    根据所述第一用户的生物特征对第一用户进行身份识别。
  2. 根据权利要求1所述的方法，所述识别出用户在触碰设备上的触碰事件包括：
    当用户在触碰设备上执行所述触碰事件之后，由所述触碰设备将触碰事件报告给身份识别装置。
  3. 根据权利要求2所述的方法，所述基于所述视频流，锁定执行所述触碰事件的用户为第一用户，包括：
    所述身份识别装置根据所述触碰设备上报的触碰事件，确定所述触碰事件时间戳；
    所述身份识别装置从监控设备上报的视频流中查找与所述时间戳对应的视频流，识别出所述时间戳对应的视频流中的用户为所述第一用户。
  4. 根据权利要求1所述的方法，所述识别出用户在触碰设备上的触碰事件，包括：
    由监控设备监控用户在触碰设备上执行触碰事件的行为，并向身份识别装置上报包括触碰事件执行行为的视频流。
  5. 根据权利要求4所述的方法，所述基于所述视频流，锁定执行所述触碰事件的用户为第一用户，包括：
    所述身份识别装置通过对所述包括触碰事件执行行为的视频流的图像分析，确定执行所述触碰事件的用户为第一用户。
  6. 根据权利要求3或5所述的方法，所述基于监控设备对多个用户拍摄的视频流，获取所述第一用户的生物特征，包括：
    对所述第一用户对应的视频流进行图像分析，得到所述第一用户的图像；
    基于所述第一用户的图像进行生物特征提取，得到所述第一用户的生物特征。
  7. 根据权利要求1-6任一项所述的方法，所述根据所述第一用户的生物特征对第一用户进行身份识别包括：
    将获取的所述第一用户的生物特征与预存的用户身份特征进行比对；
    如果所述第一用户的生物特征包括在所述预存的用户身份特征中，则确定所述第一 用户为预存用户。
  8. 根据权利要求7所述的方法，还包括：
    对身份识别结果进行确认，并进行身份识别结果的信息传达。
  9. 根据权利要求1-6任一项所述的方法，所述用户侧的场景为：刷脸支付和/或虹膜支付场景、刷脸进入和/或虹膜进入场景、刷脸上车和/或虹膜上车场景。
  10. 一种身份识别装置，用于根据用户侧设置的触碰设备和监控设备，在网络侧的身份识别装置对用户侧的多个用户中的第一用户进行身份识别，所述身份识别装置包括：
    触碰事件识别单元，用于识别出用户在触碰设备上的触碰事件；
    视频流获取单元，用于获取监控设备对所述多个用户拍摄的视频流
    用户锁定单元，用于基于所述视频流，锁定执行所述触碰事件的用户为第一用户；
    用户生物特征获取单元，用于基于所述视频流，获取所述第一用户的生物特征；
    身份识别单元，用于根据所述第一用户的生物特征对第一用户进行身份识别。
  11. 根据权利要求10所述的装置，所述触碰事件识别单元具体用于：当用户在触碰设备上执行所述触碰事件之后，接收由所述触碰设备上报的触碰事件。
  12. 根据权利要求11所述的装置，所述用户锁定单元具体用于：根据所述触碰设备上报的触碰事件，确定所述触碰事件时间戳；从监控设备上报的视频流中查找与所述时间戳对应的视频流，识别出所述时间戳对应的视频流中的用户为所述第一用户。
  13. 根据权利要求10所述的装置，所述触碰事件识别单元具体用于：接收由监控设备上报的包括触碰事件执行行为的视频流。
  14. 根据权利要求13所述的装置，所述用户锁定单元具体用于：通过对所述包括触碰事件执行行为的视频流的图像分析，确定执行所述触碰事件的用户为第一用户。
  15. 根据权利要求12或14所述的装置，所述用户生物特征获取单元具体用于：
    对所述第一用户对应的视频流进行图像分析，得到所述第一用户的图像；
    基于所述第一用户的图像进行生物特征提取，得到所述第一用户的生物特征。
  16. 根据权利要求10-15任一项所述的装置，所述身份识别单元具体用于：将获取的所述第一用户的生物特征与预存的用户身份特征进行比对；如果所述第一用户的生物特征包括在所述预存的用户身份特征中，则确定所述第一用户为预存用户。
  17. 根据权利要求16所述的装置，还包括：
    识别确认单元，用于对身份识别结果进行确认，并进行身份识别结果的信息传达。
  18. 根据权利要求10-15任一项所述的装置，所述用户侧的场景为：刷脸支付和/ 或虹膜支付场景、刷脸进入和/或虹膜进入场景、刷脸上车和/或虹膜上车场景。
  19. 一种身份识别的系统，包括触碰设备、监控设备和身份识别装置，用于根据用户侧设置的触碰设备和监控设备，在网络侧的身份识别装置对用户侧的多个用户中的第一用户进行身份识别，其中：
    所述触碰设备，用于被用户触碰从而执行触碰事件；
    所述监控设备，用于获取多个用户的视频流并向身份识别装置上报视频流；
    所述身份识别装置，用于识别出用户在触碰设备上的触碰事件，并基于监控设备的视频流，锁定执行触碰事件的第一用户并获取第一用户的用户生物特征，以及，根据所述用户生物特征进行身份识别。
  20. 根据权利要求19所述的系统，
    所述触碰设备，用于获取用户的触碰事件，并将触碰事件报告给身份识别装置；
    所述身份识别装置具体用于：当用户在触碰设备上执行所述触碰事件之后，由所述触碰设备将触碰事件报告给身份识别装置。
  21. 根据权利要求20所述的系统，所述身份识别装置具体用于：根据所述触碰设备上报的触碰事件，确定所述触碰事件时间戳；从监控设备上报的视频流中查找与所述时间戳对应的视频流，识别出所述时间戳对应的视频流中的用户为所述第一用户。
  22. 根据权利要求19所述的系统，所述监控设备还用于，监控用户在触碰设备上执行触碰事件的行为，并向身份识别装置上报包括触碰事件执行行为的视频流。
  23. 根据权利要求22所述的系统，所述身份识别装置还用于，通过对所述包括触碰事件执行行为的视频流的图像分析，确定执行所述触碰事件的用户为第一用户。
  24. 根据权利要求21或23所述的系统，所述身份识别装置具体用于：对所述第一用户对应的视频流进行图像分析，得到所述第一用户的图像；基于所述第一用户的图像进行生物特征提取，得到所述第一用户的生物特征。
  25. 根据权利要求19-24任一项所述的系统，所述身份识别装置具体用于：将获取的所述第一用户的生物特征与预存的用户身份特征进行比对；如果所述第一用户的生物特征包括在所述预存的用户身份特征中，则确定所述第一用户为预存用户。
  26. 根据权利要求25所述的系统，所述身份识别装置还用于：对身份识别结果进行确认，并进行身份识别结果的信息传达。
  27. 根据权利要求19-24任一项所述的系统，所述用户侧的场景为：刷脸支付和/或虹膜支付场景、刷脸进入和/或虹膜进入场景、刷脸上车和/或虹膜上车场景。
  28. 一种服务器，包括存储器、处理器及存储在存储器上并可在处理器上运行的计 算机程序，所述处理器执行所述程序时实现权利要求1-9任一项所述方法的步骤。
  29. 一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现权利要求1-9任一项所述方法的步骤。
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Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108171185B (zh) * 2018-01-03 2020-06-30 阿里巴巴集团控股有限公司 身份识别的方法、装置及系统
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103294986A (zh) * 2012-03-02 2013-09-11 汉王科技股份有限公司 一种生物特征的识别方法和装置
CN105825384A (zh) * 2016-04-01 2016-08-03 王涛 一种基于指纹辅助身份识别的人脸支付装置的使用方法
CN205486451U (zh) * 2016-02-26 2016-08-17 深圳市九星机电设备有限公司 一种用于乘车购票系统的人脸识别公交刷卡机
CN105915798A (zh) * 2016-06-02 2016-08-31 北京小米移动软件有限公司 视频会议中摄像头的控制方法和控制装置
CN106250739A (zh) * 2016-07-19 2016-12-21 柳州龙辉科技有限公司 一种身份识别装置
CN108171185A (zh) * 2018-01-03 2018-06-15 阿里巴巴集团控股有限公司 身份识别的方法、装置及系统

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101266704B (zh) * 2008-04-24 2010-11-10 张宏志 基于人脸识别的atm安全认证与预警方法
TWI591555B (zh) * 2012-02-03 2017-07-11 Chunghwa Telecom Co Ltd Biometric identification ticket security system
CN104680119B (zh) * 2013-11-29 2017-11-28 华为技术有限公司 图像身份识别方法和相关装置及身份识别系统
CN204680060U (zh) * 2015-04-13 2015-09-30 济南舜软信息科技有限公司 基于网络和生物特征的身份识别和支付装置
CN106296199A (zh) * 2016-07-12 2017-01-04 刘洪文 基于生物特征识别的支付及身份认证系统
CN206322194U (zh) * 2016-10-24 2017-07-11 杭州非白三维科技有限公司 一种基于三维扫描的反欺诈人脸识别系统
US20180300572A1 (en) * 2017-04-17 2018-10-18 Splunk Inc. Fraud detection based on user behavior biometrics
CN107516070B (zh) * 2017-07-28 2021-04-06 Oppo广东移动通信有限公司 生物识别方法及相关产品

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103294986A (zh) * 2012-03-02 2013-09-11 汉王科技股份有限公司 一种生物特征的识别方法和装置
CN205486451U (zh) * 2016-02-26 2016-08-17 深圳市九星机电设备有限公司 一种用于乘车购票系统的人脸识别公交刷卡机
CN105825384A (zh) * 2016-04-01 2016-08-03 王涛 一种基于指纹辅助身份识别的人脸支付装置的使用方法
CN105915798A (zh) * 2016-06-02 2016-08-31 北京小米移动软件有限公司 视频会议中摄像头的控制方法和控制装置
CN106250739A (zh) * 2016-07-19 2016-12-21 柳州龙辉科技有限公司 一种身份识别装置
CN108171185A (zh) * 2018-01-03 2018-06-15 阿里巴巴集团控股有限公司 身份识别的方法、装置及系统

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