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《Modern Electronics Technique》 2007-01
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A Face Recognition System Based on Independent Component Analysis and Minimax Probability Machine

RUAN Kui,SUN Jixiang(School of Electronic Science and Technology,National University of Defense Technology,Changsha,410073,China)  
A face recognition system based on independent component analysis and minimax probability machine is proposed.First,capture the image through the camera,locate and segment the face region from the original image based on the haar feature algorithm.Then,normalization and lighting compensation is worked on the face image.In order to get more efficiency features,the ICA method is used.At last,use the improved minimax probability machine to categorize the face image.The experiment shows that,the system is competent for face recognition,the accuracy reach to about 96.8%,and is insensitive to multi-view face.
【CateGory Index】: TP391.41
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