AtomMolecule Dictionary Joint Extended Weighted Sparse Representation Face Recognition Algorithm

In view of the ordinary training sample dictionary learning only contains the global information in SRC, we introduce the atom dictionary which is related categories, and propose atomic and molecular dictionary joint extended weighted sparse representation of the human face recognition algorithm. Firstly the labeled atom dictionary is learned by each kind of training samples with PCA respectively，and at the same time the molecule dictionary is learned from training samples. So the extended dictionary is obtained by the combination of atom dictionary and molecule dictionary. When the input is tested, computing the weight according to the distance between the test sample and extended dictionary, so we can get the restructured dictionary associated with the current test sample. Finally, the test sample is classified by using of residual error SRC criterion. In order to verify the effectiveness of our algorithm，we conduct experiments respectively in the AR, Georgia Tech and CMU PIE facial database.