Face Recognition Method Based on Singular Value Decomposition and Fuzzy Decision
基于局部奇异值分解和模糊决策的人脸识别方法

A face recognition method using singular value decomposition(SVD) on human local facial area and fuzzy decision is presented in this paper to solve the problem that singular value decomposition on whole facial image can not provide enough information for face recognition.The key of this approach is that singular value decomposition is applied to different parts of human facial area instead of the whole facial region.So the rich information can be obtained for recognizing human face.The way of establishing feature vectors based on local singular value decomposition is proposed.In the recognition step,the features vector of input facial image are set up,and then the membership degrees of these features to each facial sample are computed respectively,and finally the decision can be obtained.Comparative experimental results on ORL face database show that its performance is better than that of traditional SVD-based methods.