A new algorithm for generalized optimal discriminant vectors

Authors:
Wu Xiaojun;Yang Jingyu;Wang Shitong;Guo Yuefei;Cao Qiying
Affiliations:
East China Shipbuilding Institute, Zhenjiang 212003, P.R. China, School of Information, Nanjing University of Science & Technology, Nanjing 210094, P.R. China,Robotics Laboratory, The Chinese Acad ...;School of Information, Nanjing University of Science & Technology, Nanjing 210094, P.R. China;East China Shipbuilding Institute, Zhenjiang 212003, P.R. China, School of Information, Nanjing University of Science & Technology, Nanjing 210094, P.R. China;Department of Computer Science and Technology, Fudan University, Shanghai 200433, P.R. China;East China Shipbuilding Institute, Zhenjiang 212003, P.R. China
Venue:
Journal of Computer Science and Technology
Year:
2002

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Abstract

A study has been conducted on the algorithm of solving generalized optimal set of discriminant vectors in this paper. This paper proposes an analytical algorithm of solving generalized optimal set of discriminant vectors theoretically for the first time. A lot of computation time can be saved because all the generalized optimal sets of discriminant vectors can be obtained simultaneously with the proposed algorithm, while it needs no iterative operations. The proposed algorithm can yield a much higher recognition rate. Furthermore, the proposed algorithm overcomes the shortcomings of conventional human face recognition algorithms which were effective for small sample size problems only. These statements are supported by the numerical simulation experiments on facial database of ORL.