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《Journal of North China University of Technology》 2010-01
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Study of Face Recognition Algorithm Based on Gabor Wavelet Features

Lin Xiangguo(Department of Communication,Guangzhou Civil Aviation College,510640,Guangzhou,China)  
Two-dimensional Gabor wavelet transformation of image edge-sensitiveness is good in direction selectivity and scale selectivity,but it is not sensitive to variation of light.A new method of Gabor features of face recognition is presented in this paper.The method,Gabor wavelet transformation,accurately positions the coordinates of the face,eyes and other favorable face recognition areas,and by constructing new Gabor features,classifies the features into the nearest category.Experimental results in YALE face database show that the method is effective.
【CateGory Index】: TP391.41
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