Fisher diagonal NMF based color face recognition

A novel color face recognition approach coined Fisher diagonal non-negative matrix factorization (Fisher-DNMF) is proposed in this paper. The approach employs block diagonal matrix to encode color information of different channels. Block diagonal constraint and Fisher discrimination constraint are imposed on the non-negative matrix factorization algorithm to factorize matrices of different channels simultaneously. And Fisher-DNMF algorithm is exploited to extract facial features. Nearest neighborhood classifier is adopted to identify color face samples. Experimental results on CVL and CMU PIE color face databases verify the effectiveness of the proposed approach.