Although face recognition has become a topic of active research in recent decades, an accurate face recognition is still a tough job and still struggle with its performance especially if it is unconstrained lighting variations. The external conditions present during the facial image acquisition stage deeply influence the appearance of a face in the acquired image and hence affect the performance of the recognition system. This paper presents an efficient method for robust face recognition against varying lighting condition by using Oriented Phase Congruency features. The extracted features, derived from the Gabor Phase Congruency response are concatenated to construct a feature vector to be used for classification by Subspace LDA. We demonstrate the effectiveness and superiority of our proposed method by conducting some experiments on Yale B face databases and our proposed method shows robust face recognition performance in the presence of severe lighting changes.

Original languageEnglish
Pages (from-to)115-122
Number of pages8
JournalJournal of Theoretical and Applied Information Technology
Issue number1
Publication statusPublished - 10 Jun 2016


  • Face representation
  • Gabor phase high energized point
  • Oriented gabor phase congruency features
  • Subspace LDA
  • Varying lighting conditions


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