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 improved the accuracy of different techniques by normalizing and compensating the illumination 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 the training set. Article DOI: https:/dx.doi.org/10.20319/mijst.2016.s21.150166 This work is licensed under the Creative Commons Attribution Non commercial 4.0 International License. To view a copy of this license, visit http:/creativecommons.org/licenses/by nc/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.