Face recognition across illumination

Saleh Aly, Alaa Sagheer, Naoyuki Tsuruta, Rin-Ichiro Taniguchi

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Illumination variation on images of faces is one of the most difficult problems in face recognition systems. The performance of a self-organizing map-based face recognition system is highly degraded when the illumination in test images differs from that of the training images. Illumination normalization is a way to solve this problem. Both global and local image enhancement methods are studied in this article. A local histogram equalization method strongly improves the recognition accuracy of the CMU-PIE face database.

Original languageEnglish
Pages (from-to)33-37
Number of pages5
JournalArtificial Life and Robotics
Volume12
Issue number1-2
DOIs
Publication statusPublished - Dec 1 2008

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Biochemistry, Genetics and Molecular Biology(all)

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