Computer Science ›› 2016, Vol. 43 ›› Issue (Z11): 161-166.doi: 10.11896/j.issn.1002-137X.2016.11A.035

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Integrating Fast Sparse Respresentation and Collaborative Representation for Face Recognition

LIU Zi-yuan, JIANG Yan-xia and WU Teng-fei   

  • Online:2018-12-01 Published:2018-12-01

Abstract: On the basis of compressed sensing theory,fast sparse representation classification (FSRC) and collaborative representation classification (CRC) were proposed.Different emphases restrict further improvement in face recognition.Focused on this,this paper proposed an improved method named integrated fast sparse representation and collaborative representation.Firstly,the face mirror image is introduced into the sample library.Then,the residuals matrix is solved with FSRC and CRC.Finally,the weights of residuals matrix get a summation by weighted fusion and the recognition rate is obtained according to the minimum value’s position information.Experiments on different face databases show that the proposed method can get better recognition performance than FSRC,CRC and others.

Key words: Face recognition,Fast sparse representation,Collaborative representation,Mirror image,Weighted fusion

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