JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2012, Vol. 42 ›› Issue (4): 29-34.

• Articles • Previous Articles     Next Articles

Recognition of intersected face based on contrast information and  local binary pattern

CAO Hong-gen1, YUAN Bao-hua1, ZHU Hui-sheng2   

  1. 1. Department of Computer Science ＆ Technology, Taizhou Institute of Science ＆ Technology, Nanjing University of
    Science and Technology, Taizhou 225300, China;
    2. School of Computer Science＆ Technology, Fudan University, Shanghai 200433, China
  • Received:2012-03-28 Online:2012-08-20 Published:2012-03-28

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Abstract:

The method of feature extraction based on local binary pattern(LBP) ignored the magnitude of the gray level differences.To solve this problem, a face recognition method based on contrast information and LBP was presented. First, LBP operator was used to extract the LBP histogram sequence (LBPHS) from block graylevel face images,and VAR operator was used to extract the VAR histogram sequence (VARHS). Second, the above two operator were concatenated into a single histogram sequence(LBP／VARHS). Finally, the face recognition was realized based on the nearest neighbor principle. The proposed method could effectively extract the face feature, and greatly reduce the amount of training data. The dimension of the amount of data had nothing to do with the original image size. Experimental results showed that the proposed method could obtain better recognition rate on both ORL and YALE face database.

Key words: local binary pattern, contrast information, histogram sequence, feature extraction, face recognition

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