Face illumination compensation using multiwavelets transform

A novel illumination compensation algorithm for face recognition under variable illumination conditions is presented. The method calculates 2-dimensional multiwavelets transform for face illumination compensation in logarithm domain, and then conducts the face recognition experiment directly. The proposed approach is compared with other method in logarithm domain on Yale B face database. The experimental results show that the average error rate of the proposed approach is only 0.18%, which is superior to the most of existing face illumination compensation methods.