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《Journal of Yunnan University of Nationalities(Natural Sciences Edition)》 2010-06
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Human Face Recognition with PCA Method

SUN Chong-xuan(Yunnan Jiao Tong Vocational and Technical College,Kunming 650101,China)  
As a subspace projection technique within the context of a baseline system for human face recognition,the principal component analysis(PCA) is introduced in this paper.With the histogram equalization and human face normalization methods,an algorithm with a higher recognition rate is achieved by using MATLAB.In this study,35 grayscale human faces were used as sample images.
【Fund】: 云南省教育厅科学研究基金(09Y0257)
【CateGory Index】: TP391.41
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