Chapter

Image and Signal Processing

Volume 5099 of the series Lecture Notes in Computer Science pp 304-311

Illumination Invariant Face Recognition under Various Facial Expressions and Occlusions

  • Tiwuya H. FaayaAffiliated withCarnegie Mellon UniversityComputer Engineering Department, Eastern Mediterranean University, Gazimağusa
  • , Önsen ToygarAffiliated withCarnegie Mellon UniversityComputer Engineering Department, Eastern Mediterranean University, Gazimağusa

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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.

Keywords

face recognition facial expressions face occlusion illumination PCA LDA