Modified Maximum Scatter-difference Discriminant Analysis and Face Recognition
Liu Yong-jun①②; Chen Cai-kou①③; Wang Zheng-qun①
①Department of Computer Science and Engineering, Yangzhou University, Yangzhou 225009, China; ②Department of Software Engineering, Changshu Insitute of Technology, Changshu 215500, China; ③Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
Abstract：Cosidering the so-called “Small Sample Size”(SSS) problem in nature and the “inferior” problem in traditional Fisher linear discriminant analysis, a new method of feature extraction based on modified maximum scatter-difference criterion is developed in this paper. The method gives an effective way to resolve two difficulties of the traditional Fisher linear discriminant analysis theoretically in face recognition. Finally, extensive experiments performed on ORL and AR face database verify the effectiveness of the proposed method.
2008, Vol. 30 
