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Real-Time Face Recognition System Based on Illumination-insensitive MCT and Frame Consistency  

Cho, Gwang-Shin (Dept. of Computer Engineering, Kwangwoon University)
Park, Su-Kyung (Dept. of Computer Engineering, Kwangwoon University)
Sim, Dong-Gyu (Dept. of Computer Engineering, Kwangwoon University)
Lee, Soo-Youn (Dept. of Computer Engineering, Kwangwoon University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.45, no.3, 2008 , pp. 123-134 More about this Journal
Abstract
In this paper, we propose a real-tin e face recognition system that is robust under various lighting conditions. Th Modified Census Transform algorithm that is insensitive to illumination variations is employed to extract local structure features. In a practical face recognition system, acquired images through a camera are likely to be blurred and some of them could be side face images, resulting that unacceptable performance could be obtained. To improve stability of a practical face recognition system, we propose a real-time algorithm that rejects unnecessary facial picture and makes use of recognition consistency between successive frames. Experimental results on the Yale database with large illumination variations show that the proposed approach is approximately 20% better than conventional appearance-based approaches. We also found that the proposed real-time method is more stable than existing methods that produces recognition result for each frame.
Keywords
Face; recognition; illumination; MCT; frame;
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