关键词: 广义鉴别分析, 核广义鉴别分析, 人脸识别, 特征抽取

Abstract: Based on the theory of kernel generalized optimal feature extracted mode,a new method for the corresponding mode was proposed.Firstly space transform method was used to transform initial kernel between class scatter matrix and kernel total scatter matrix,so the kernel total scatter matrix became positive definition. At the same time,by the means of kernel uncorrelated feature vectors extraction,the feature vectors got were statistical uncorrelated.To verify the effectiveness of this method,experiment was tested on ORL face databases and the result showed that the face recognition method proposed is more available than other methods such as kernel discriminant analysis.

Key words: generalized optimal discriminant analysis, kernel generalized optimal discriminant analysis, face recognition, feature extraction