Coefficients´ co-occurrence histogram of DWFT based feature extration with ONPP for face recognition

The important step of face recognition based on subspace method is to obtain powerful features. In this paper, we propose a novel feature extraction technique based on discrete wavelet frame transform (DWFT), which capture the information about relationship between each high frequency subband and the low frequency subband of the decomposed image at the corresponding level. In the feature space, we use orthogonal neighborhood preserving profections (ONPP) algorithm to reduce dimension. Experimental results show that the proposed algorithm is effective in face recognition. Comparisons with the other approaches are also provided.