关键词: 人脸识别, 支持向量机, 亮度补偿, 图像增强

Abstract: In order to improve the face recognition rate in illumination conditions, this paper proposes a face preprocessing algorithm in complex illumination conditions. The illumination face image is enhanced by nonlinear method, and then bilateral filtering is used to estimate the influence of illumination, and the loss of estimation is compensated by Gamma method. The estimation results are fused to improve the effect of face image, and face classifier is established based on K near algorithm. The results of Yale, PIE and AR face database show that the proposed method has improved face recognition rate in complex illumination conditions compared with other methods.

Key words: face recognition, support vector machine, illumination compensation, image enhancement