Abstract The maximum margin criterion (MMC) aims at maximizing the inter-class scatter and minimizing the intra-class scatter simultaneously after the projection to overcome the small sample size problem. A feature extraction method is proposed. Compared with the original MMC method, the proposed method can manifold local structure information better by multiplying the defined weight and regulating the parameter. The experimental results on ORL face database ,YALE database and UMIST database show that the proposed method is robust to illumination and pose, and it improves the recognition rate and recognizes the face images efficiently.
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2009, Vol. 22 
