Maximum Scatter Difference Discriminant Analysis and Face Recognition
Caikou Chen · Computer Engineering and Applications Journal · 2006
It is well-known that the applicability of Fisher linear discriminant analysis(LDA)to high-dimensional image recognition tasks such as face recognition inevitably suffers from the so-called small sample size(SSS)problem.In this paper,We propose a novel discriminant analysis method to essentially avoid the SSS problem using scatter difference discriminant criterion.Different from LDA,the method adopts the difference of between-class scatter and within-class scatter as discriminant criterion rather than the ratio of them.Extensive experiments performed on both ORL face database and AR face database verify the effectiveness of the proposed method.