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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.

Inactive Publication Date: 2020-12-04
CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY +1
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AI Technical Summary

Problems solved by technology

The amount of information is small, and the credibility of identity verification is not high
And when people's identity information is saved, it is usually saved directly, without processing and saving the photos, the safety factor is low, and the identity information is easy to be stolen
Once the identity information database is attacked by criminals, the identity information is extremely easy to be stolen to carry out illegal activities, causing unnecessary troubles to people

Method used

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

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Embodiment Construction

[0098] The specific implementation manner and working principle of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0099] From figure 1 It can be seen that an identity coupling identification method based on multiple linear regression associative memory model includes the following steps:

[0100] S1: Collect fingerprint pictures and face pictures of the crowd, and group and number the collected fingerprint pictures and face pictures;

[0101] When storing identity information, it is necessary to obtain the user's fingerprint picture and face picture at the same time for double checking.

[0102] If the matching success rate of one of the pictures is lower than the set value h of H, the identification of identity information will fail, and the reliability of the identification system is high, which improves the reliability of identity information preservation.

[0103] S2: By setting the brightness threshold of...

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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.

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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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/1347G06V40/1365G06V40/168G06V40/172
Inventor 韩琦翁腾飞刘晋刘洋吴政阳谯自强黄军建
Owner CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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