A Robust and Efficient Face Recognition System Based on Luminance Distribution Using Maximum Likelihood
Ching Tang Hsieh, Chia Shing Hu · Applied Mechanics and Materials · 2012
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.