光照变化条件下的人脸识别预处理

光照变化条件下的人脸识别是模式识别领域最具挑战性的问题之一.笔者提出一种基于区域正则化模型（RRM）的预处理技术，即将人脸图像分成4个区域，在每个区域进行逐点线性变换.该技术简单易行，并能较好的削弱光照变化对人脸识别的影响.在Yale B人脸库上，与常用的直方图均衡化方法（HE）、基于区域的直方图均衡化方法（RHE）进行了对比分析，实验结果表明该预处理技术的有效性和可行性.

Pre-Processing for Face Recognition Under Different Illumination Conditions

Face recognition under different illumination conditions is one of the challenging problems in pattern recognition field.In this paper,a pre-processing technique based on Region Regulation Model(RRM) is proposed.It divides a face image into four parts,and in each part a linear transformation point-by-point is conducted.The technique is feasible,simple and tractable in computing.Moreover,it is very effective to weaken the aftereffect of varying illumination.Comparing with the popular techniques,such as Histogram Equalization(HE) and Region-based Histogram Equalization(RHE),experiments are performed on Yale B face image database.The results illustrate that this pre-processing technique is available and efficient.