Description: Face recognition under complex illumination conditions is still an open question．To cope with the
problem ，this paper proposes an effective illumination normalization method．The proposed method employs
morphology and quotient image techniques by analyzing the face illumination，and it is upgraded with dynamical
lighting estimation technique to strengthen illumination compensation and feature enhancement．Compared with
traditional approaches，this method doesn’t need any training data and any assumption on the light conditions，
moreover，the enrollment requires only one image for each subject．The proposed methods are evaluated on Yale
Face database B and receive a very competitive recognition rate with low computational cost．
File list (Check if you may need any files):
基于形态学商图像的光照归一化算法.PDF
Download