Computer Science ›› 2015, Vol. 42 ›› Issue (8): 78-81.

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Modular MMC and its Application in Face Recognition

LIU Hui, WAN Ming-hua and WANG Qiao-li   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Maximum margin criterion(MMC) algorithm for feature extraction only extracts global features while local features can not be effectively extracted.So,an improved version of maximum margin criterion(MMC) named modular maximum margin criterion(MMMC) was proposed in this paper.First,in proposed approach,the original images are divided into modular images,which are also called sub-images.Then,MMC method is directly used to extract the features of the sub-images from the previous step.Features of sub-images are combined into global features.At last,the recognition results are obtained by nearest neighbor(NN) classifier.The results of test on ORL,Yale and AR face database show that the proposed algorithm with respect to the MMC algorithm has better recognition performance.

Key words: Maximum margin criterion,Modular maximum margin criterion,Face recognition,Feature extraction

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