Image Enhancement Technique using Adaptive Multiscale Retinex for Face Recognition Systems

摘要

Various illumination effects in an image are one of the states of difficulty that should be solved in order to get a satisfactory result in face recognition task. The inhomogeneous intensities of the image has led to many plans and algorithms to devastate the cause and next to eliminate the illumination. The focus of this paper is to enhance the image by reducing illumination effects; employing a preprocessing step i.e. adaptive multiscale retinex as the illumination correction method before accomplishing the recognition task. The performance of this method is evaluated using the Yale database and has lower equal error rate compared with single scale retinex and conventional multiscale retinex.