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TWO-DIMENSIONAL MAXIMUM MARGIN PROJECTION FOR FACE RECOGNITION

To effectively cope with the high dimensionality problem in face recognition, a novel two-dimensional maximum margin projection (2DMMP) algorithm for face recognition is proposed in this paper. Specially, 2DMMP is based on the maximum margin projection (MMP) and fully considers the intrinsic tensor structure of face image. By utilizing both local manifold structure and discriminative information, as well as characterizing the correlations among pixels with the tensor structure, 2DMMP can effectively project the high-dimensional face image space into lower-dimensional feature space for face recognition. Experimental results on three face databases show that the proposed 2DMMP algorithm outperforms other related algorithms in terms of recognition accuracy.