Retinex Algorithm Based on Mean-Shift Applied in Face Recognition

Abstract

In order to improve the face recognition rate with complex illumination conditions changing, a Retinex algorithm based on Mean-Shift smoothing filtering was proposed and applied to illumination pretreatment of face recognition. The original image was enhanced by this method with local nonlinear contrast enhancement, illumination was evaluated by Mean-Shift smoothing filtering instead of Gaussian filter in traditional Retinex and the problem that halo formation couldn't be removed by Retinex algorithm was solved. The result of experiment in CAS_PEAL face library shows that, the algorithm has better illumination pretreatment effect than tradition algorithms, and also can improve the face recognition rate.