FACE RECOGNITION WITH ILLUMINATION VARYING CONDITIONS AND OCCLUSIONS

Face recognition with illumination varying conditions and occlusions is one of the most important challenges in the field of digital image processing. Despite of the fact that a number of studies (Patel & Yagni, 2013; Azeem, Sharif, Raza & Murtaza, 2014) have im-proved the accuracy of different techniques by normalizing and compensating the illumina-tion variations using some pre-processing methods, a lot of these methods are still facing many serious challenges with illumination changes and occlusion. In this paper we suggest the use of tow pre-processing methods that will have a great impact on the performance and the robustness of the recognition procedures in case small sample size (SSS) as train-ing set .