A Robust and Efficient Face Recognition System Based on Luminance Distribution Using Maximum Likelihood

Abstract:

In this paper, a robust and efficient face recognition system based on luminance distribution by using maximum likelihood estimation is proposed. The distribution of luminance components of the face region is acquired and applied to maximum likelihood test for face matching. The experimental results showed that the proposed method has a high recognition rate and requires less computation time.

• Periodical: Applied Mechanics and Materials (Volumes 241-244)
• Pages: 1705-1709
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.241-244.1705
• Online since: December 2012
• Authors: Ching Tang Hsieh, Chia Shing Hu
• Keywords: Face Recognition, Maximum Likelihood

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