Illumination Invariant Face Recognition under Various Facial Expressions and Occlusions

Authors:
Tiwuya H. Faaya;Önsen Toygar
Affiliations:
Computer Engineering Department, Eastern Mediterranean University, Gazimağusa, Northern Cyprus, Turkey Mersin 10;Computer Engineering Department, Eastern Mediterranean University, Gazimağusa, Northern Cyprus, Turkey Mersin 10
Venue:
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
Year:
2008

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Abstract

This paper presents a new approach that increases face recognition performance using various facial expressions in the presence of illumination variations and occlusions. The new approaches use PCA and LDA with the combination of the preprocessing techniques of histogram equalization and mean-and-variance normalization in order to nullify the effect of illumination changes and any occlusions present which are known to significantly degrade recognition performance. To be consistent with the research of others, our work has been tested on the JAFFE database and its performance has been compared with traditional PCA and LDA.