Client, cloud server, identity recognition method and system of cloud server and computer storage medium

A cloud server, identity recognition technology, applied in computer parts, computing, biometric identification and other directions, can solve security risks and privacy compliance, cannot be changed or destroyed, etc., to protect biological privacy, achieve usability and ease of use , the effect of protecting biometric privacy
CN112418863APending Publication Date: 2021-02-26CHINA UNIONPAY

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
CHINA UNIONPAY
Publication Date
2021-02-26

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Abstract

The invention relates to an identity recognition method executed by a client. The method comprises the following steps: acquiring biological characteristic information of a user; extracting a first feature value from the biological feature information by using a first extraction algorithm pre-stored in the client; sending a first comparison request message containing the first characteristic valueto a cloud server; after the comparison is passed, receiving a second extraction algorithm from the cloud server, the second extraction algorithm being an updated version of the first extraction algorithm; extracting a second feature value from the biological feature information by using the second extraction algorithm; and sending a registration message containing the second feature value to thecloud server so as to store the second feature value. The invention further relates to a client, an identity recognition method executed by the cloud server, the cloud server, a computer storage medium and an identity recognition system.
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Description

technical field

[0001] The present invention relates to an identification scheme, and more specifically, to a client, a cloud server, an identification method thereof, a computer storage medium, and an identification system. Background technique

[0002] In recent years, biometrics (such as face, fingerprint, etc.) have gradually become the mainstream identification method due to their close correlation with individual identity. There are many applications in important financial scenarios such as withdrawal, payment, and mobile banking login. Most of the current biometric identification systems directly collect and store the original plaintext image of the biometric feature (such as the original image of the face and fingerprint). This scheme can achieve good biometric matching, but at the same time there is a huge security risk Hidden dangers and privacy compliance issues, because once the biometric data is leaked, it cannot be changed or destroyed, and biometrics are relat...

Claims

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