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《Journal of Zhejiang University(Engineering Science)》 2007-07
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KSLPP: new algorithm for face recognition

ZHU Lei,ZHU Shan-an(College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China)  
A new face image feature extraction and recognition method based on kernel supervised locality preserving projections(KSLPP) was proposed,in which samples are projected into high-dimensional feature spaces by nonlinear mapping, the face manifold local structure information is combined with the labels' information,and the nonlinear feature of faces for recognition is extracted.The nearest neighborhood(NN) algorithm was used to construct classifiers.The proposed method was tested and evaluated using the ATT face database and Yale face database.Experimental results showed that KSLPP is more powerful than Eigenface,Fisherface and Laplacianface for face feature extraction and recognition.
【CateGory Index】: TP391.41
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