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Face recognition method based on compressed sensing

A face recognition and compressed sensing technology, applied in the field of face recognition, can solve the problem of low recognition accuracy

Inactive Publication Date: 2015-09-30
ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0005] The purpose of the present invention is to provide a face recognition method and system based on compressed sensing, which aims to solve the problem that the existing face recognition technology puts forward very high requirements on the channel and image processing hardware equipment, and the recognition accuracy is not high

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[0032] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0033] A face recognition method based on compressed sensing, comprising the following steps:

[0034] S1. According to the face samples, construct a dictionary library Ψ=[Ψ according to the set requirements 1 ,...,Ψ p ,...,Ψ P ], will test the face image x 0 Preprocessing forms the column vector x.

[0035] In step S1, it is assumed that there are face samples of P persons stored in a face database, and each person has many samples from different angles, expressions, and illuminations, and the size of each sample is the same. Randomly select Q different samples for each person, each sample im...

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Abstract

The invention provides a face recognition method based on compressed sensing. The face recognition method includes constructing a dictionary database according to face samples and setting requirements and preprocessing tested facial images to column vector, designing projection matrix according to the constructed dictionary database; inputting projection value y of the column vector under the projection matrix into function to solve, when p traverses from 1 to P, solving to obtain all Sp, judging the Sp by the function, outputting judgement types; reconstructing image data according to the judgement types, and rearranging to obtain reconstruction images. On one hand, hardware requirements of high-speed sampling and big data transmission; on the other hand, system identification rate can be effectively improved, and effectiveness of the face recognition method is proved by experimental simulation.

Description

technical field [0001] The invention belongs to the technical field of face recognition, and in particular relates to a face recognition method and system based on compressed sensing. Background technique [0002] Face recognition technology, as one of the important research directions of machine vision and image processing technology, has attracted more and more attention from the academic community. With the continuous deepening of the application of digital technology, the resolution of daily images is getting higher and higher, which puts high demands on hardware equipment such as image information collection, transmission, storage and processing. In order to alleviate the pressure of information storage and transmission, the current solution is signal compression, such as the JPEG standard based on discrete cosine transform and the JPEG2000 standard based on wavelet transform. [0003] The traditional pattern recognition process is image acquisition, image compression,...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/172G06V40/161
Inventor 于爱华李刚常丽萍李胜白煌姜倩茹洪涛徐智星候北平
Owner ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
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