Wavelet based illumination invariant preprocessing in face recognition

Y. Z. Goh, Andrew B.J. Teoh, Michael K.O. Goh

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

28 Citations (Scopus)

Abstract

Performance of face recognition system has not been satisfied due to the change of illumination on facial image. Thus, there were many proposals that dealing with illumination compensation in face recognition in the past decades. In this paper, we propose a wavelet based illumination invariant algorithm based on the illumination-reflectance model. The proposed method aims to remove illumination component. This can be done by setting the coefficients in wavelet approximation subband to zero values. The algorithms are tested on YaleB database and CMU PIE database, with encouraging results.

Original languageEnglish
Title of host publicationProceedings - 1st International Congress on Image and Signal Processing, CISP 2008
Pages421-425
Number of pages5
DOIs
Publication statusPublished - 2008 Sep 25
Event1st International Congress on Image and Signal Processing, CISP 2008 - Sanya, Hainan, China
Duration: 2008 May 272008 May 30

Publication series

NameProceedings - 1st International Congress on Image and Signal Processing, CISP 2008
Volume3

Other

Other1st International Congress on Image and Signal Processing, CISP 2008
CountryChina
CitySanya, Hainan
Period08/5/2708/5/30

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All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Goh, Y. Z., Teoh, A. B. J., & Goh, M. K. O. (2008). Wavelet based illumination invariant preprocessing in face recognition. In Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008 (pp. 421-425). [4566519] (Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008; Vol. 3). https://doi.org/10.1109/CISP.2008.335