Face identification method based on JSM (joint sparsity model) and sparsity preserving projection

Abstract

The invention relates to a face identification method based on JSM (joint sparsity models) and sparsity preserving projection. According to the method, a transformation base formed by all training images substitutes a common random matrix in the JSM algorithm; public parts and privacy parts of each type of training face images are extracted by utilizing the JSM algorithm; images in a face database are classified as per people; all images of one person are grouped into the same class; the public parts indicate common face characteristics of each type of face images; the privacy parts indicate detail changes on expressions of faces, illumination and the like; images reconstructed by utilizing sparse public and privacy parts are approximate to original training images; and a dimensionality reduction matrix is obtained through solving the most optimized problem with the smallest reconstruction error. The dimensionality reduction matrix obtained finally performs dimensionality reduction treatment on testing images, the public parts and the privacy parts of each type of training images subjected to dimensionality reduction are used for reconstructing the testing images, and the testing images belong to the class of training images with the smallest reconstruction error.

Description

technical field [0001] The invention belongs to the technical fields of biometric identification technology and pattern recognition, and in particular relates to a method of sparse-preserving mapping and joint sparse model. Background technique [0002] With the development of society, the requirements for fast and effective automatic identity verification in various fields are becoming increasingly urgent, and identity recognition and verification have important application value in the fields of national security, public safety and military security. Due to its strong self-stability and individual differences, biometric identification technology has become the most ideal basis in the field of biometric identification. [0003] In recent years, face recognition as a computer security technology has developed rapidly around the world, and face recognition technology has attracted more and more attention. The application background of face recognition technology is very exte...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a face recognition method based on a joint sparse model and a sparsity-preserving mapping to solve the problem of low recognition rate in the prior art

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