Identity coupling recognition method based on multiple linear regression associative memory model

A multiple linear regression, associative memory technology, applied in character and pattern recognition, instruments, calculations, etc., can solve the problems of people's trouble, low reliability of identity verification, and easy to steal identity information.
CN106971157BInactive Publication Date: 2020-12-04CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
Publication Date
2020-12-04
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a fingerprint and face coupling recognition method based on a multiple linear regression associative memory model, comprising the following steps: S1: collecting fingerprint pictures and face pictures; S2: obtaining the associative memory input of the fingerprint pictures and face pictures respectively Matrix and output matrix; S3: Construct multiple linear regression fingerprint image recognition model and multiple linear regression face image recognition model with regression parameters; S4: Calculate regression parameters to obtain multiple linear regression fingerprint image recognition model, multiple linear regression face image Recognition model; S5: Recognize fingerprint pictures and face pictures. Beneficial effects: multiple identification of identity information, high reliability, combination of associative memory and multiple linear regression model, converting pictures into parameters, high safety factor, good recognition effect, good protection effect on identity information, and high privacy.
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Description

technical field

[0001] The invention relates to the technical field of image data preservation, in particular to an identity coupling identification method based on a multiple linear regression associative memory model. Background technique

[0002] With the development of the big data era, people usually save their daily photos or even ID photos in the database, which is easy for hackers to steal private information for trafficking or criminal activities, so that people's private information is leaked, and daily Life is easily disturbed or even involved in criminal incidents, which can easily cause a lot of inconvenience.

[0003] In some institutions that need to verify identity information, people's identity information is usually collected for identity verification. For example, collecting people's face information or fingerprint information. The amount of information is small, and the credibility of identity verification is not high. And when people's identity inform...

Claims

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