Robust face recognition based on low frequency DCT coefficients retransforming optimized by CLAHE
Yibin Wang · Computer Engineering and Applications Journal · 2014
The performance of face recognition is seriously impacted by illumination,expression,posture and occlusion variations,for which low frequency Discrete Cosine Transform(DCT)coefficients retransforming based on Contrast Limiting Adaptive Histogram Equalization(CLAHE)is proposed.Original images are divided into some non-overlapping patches and CLAHE is used to do local contrast stretching so as to reduce noise.Illustration variation of face image is removed by reducing suit numbers of low frequency DCT coefficients.Kernel principle component analysis is used to extract features.Nearest neighbor classifier is used to finish classification and recognition.The effectiveness and reliability of proposed algorithm have been verified by experiments on ORL,extended YaleB and AR face database.Experimental results show that proposed algorithm has higher recognition accuracy than several advanced standardized technologies.