A REVIEW ON CLASSIFIERS USED IN FACE RECOGNITION METHODS UNDER POSE AND ILLUMINATION VARIATION
R. Rajalakshmi, M. K. Jeyakumar · 2012
Face recognition and authentication are two significant and vigorous research issues in computer vision applications such as military, secure control and crime prevention systems. There are many factors that should be accounted for face Recognition; among them Pose and Illumination invariant are two major challenges.Pose and illumination variations harshly influence in the performance of face recognition. In order to improve the performance, several research methods have been developed to perform the face recognition process with pose and illumination conditions. In this paper we review and compare such recently developed face recognition methods with 2D face Images with Pose and Illumination. The comparison results shows that all existing methods have good performance in the face recognition process but on Pose and Illumination variation with different Classifiers gives different results based on the measurement of FAR, FRR and Accuracy. To improve the performance in face recognition methods there is a need to develop an effective face recognition technique under pose and illumination conditions.