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A Study on Face Recognition Method based on Binary Pattern Image under Varying Lighting Condition  

Kim, Dong-Ju (Division of IT Convergence, Daegu Gyeongbuk Institute of Science & Technology)
Sohn, Myoung-Kyu (Division of IT Convergence, Daegu Gyeongbuk Institute of Science & Technology)
Lee, Sang-Heon (Division of IT Convergence, Daegu Gyeongbuk Institute of Science & Technology)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.49, no.2, 2012 , pp. 61-74 More about this Journal
Abstract
In this paper, we propose a illumination-robust face recognition system using MCS-LBP and 2D-PCA algorithm. A binary pattern transform which has been used in the field of the face recognition and facial expression, has a characteristic of robust to illumination. Thus, this paper propose MCS-LBP which is more robust to illumination than previous LBP, and face recognition system fusing 2D-PCA algorithm. The performance evaluation of proposed system was performed by using various binary pattern images and well-known face recognition features such as PCA, LDA, 2D-PCA and ULBP histogram of gabor images. In the process of performance evaluation, we used a YaleB face database, an extended YaleB face database, and a CMU-PIE face database that are constructed under varying lighting condition, and the proposed system which consists of MCS-LBP image and 2D-PCA feature show the best recognition accuracy.
Keywords
2D-PCA;
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Times Cited By KSCI : 3  (Citation Analysis)
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