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A face recognition method based on modular PCA and SVD |
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| Authors: | YIN Yong HE Wenjuan GUO Zhiqiang GUO Pan and XU Yida |
| Institution: | College of Communication Engineering, Chongqing University, Chongqing 400044,P.R. China;College of Communication Engineering, Chongqing University, Chongqing 400044,P.R. China;College of Communication Engineering, Chongqing University, Chongqing 400044,P.R. China;College of Communication Engineering, Chongqing University, Chongqing 400044,P.R. China;College of Communication Engineering, Chongqing University, Chongqing 400044,P.R. China |
| Abstract: | In order to solve the problem that modular PCA method is sensitive to translation, rotation and other geometric transform, a face recognition method based on modular PCA and singular value decomposition (SVD) is proposed. The PCA features of sub image and SVD features are extracted respectively. The distance measure that fuses information of modular PCA and SVD is obtained. Minimum distance classifier is used to face recognition. Experimental results on ORL human face database show that the proposed method can obtain higher recognition rate. |
| Keywords: | face recognition modular PCA SVD classifier |
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