Face recognition across illumination

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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

Original languageEnglish
Title of host publicationProceedings of the 12th International Symposium on Artificial Life and Robotics, AROB 12th'07
Pages802-805
Number of pages4
Publication statusPublished - 2007
Event12th International Symposium on Artificial Life and Robotics, AROB 12th'07 - Oita, Japan
Duration: Jan 25 2007Jan 27 2007

Publication series

NameProceedings of the 12th International Symposium on Artificial Life and Robotis, AROB 12th'07

Other

Other12th International Symposium on Artificial Life and Robotics, AROB 12th'07
Country/TerritoryJapan
CityOita
Period1/25/071/27/07

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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