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Automatic frequency band selection for illumination robust face recognition

  • Karlsruhe Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Varying illumination conditions cause a dramatic change in facial appearance that leads to a significant drop in face recognition algorithms' performance. In this paper, to overcome this problem, we utilize an automatic frequency band selection scheme. The proposed approach is incorporated to a local appearance-based face recognition algorithm, which employs discrete cosine transform (DCT) for processing local facial regions. From the extracted DCT coefficients, the approach determines to the ones that should be used for classification. Extensive experiments conducted on the Yale face database B and the extended Yale face database B have shown that benefiting from frequency information provides robust face recognition under changing illumination conditions.

Original languageEnglish
Title of host publicationProceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2684-2687
Number of pages4
ISBN (Print)9780769541099
DOIs
Publication statusPublished - 2010
Externally publishedYes

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Keywords

  • Discrete cosine transform
  • Frequency band selection
  • Illumination robust face recognition
  • Local appearance representation

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