A rank-raised based method for face discrimination
Jin Zou, Liping Jia · 2010 3rd International Congress on Image and Signal Processing · 2010
In this paper, we develop a rank-raised based method for face recognition. The idea of the method is first to use KFD to raise the rank of total-class scatter matrix, and then the subspace method(DLDA) extracts feature space. The detailed method is presented. Experimental results on the ORL database show that the proposed method has more powerful ability of face recognition compared with LDA, DLDA and MMSD method.