关键词: 光照预处理, 人脸识别, Retinex算法, Mean-Shift滤波

Abstract: In order to improve the face recognition rate under illumination variations, this paper proposes an improved retinex algorithm which Gauss filter is replaced by mean-shift filter to solve “halo” phenomenon in traditional retinex algorithm for face illumination image. The face image is enhanced by nonlinear method, and then mean-shift filter is used to estimate the illumination instead of gauss filter to solve the traditional retinex algorithm’s “halo” phenomenon problem. The algorithm’s performance is test by Yale B face database, the results show that the proposed algorithm can restrain the “halo” phenomenon and has illumination robustness to improve the face recognition rate.

Key words: illumination preprocessing, face recognition, Retinex algorithm, Mean-Shift filtering