Wavelet-based illumination compensation for face recognition using eigenface method

Wang Wei, Song Jiatao, Yang Zhongxiu, Zheru Chi

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

14 Citations (Scopus)


Eigenface is an effective human face recognition technique. However its performance is affected to some extent by lighting conditions in capturing face images. In this paper, a new algorithm for the illumination compensation of face images based on Wavelet transform is proposed. By discarding the low frequency components of a face image and reconstructing the image using the high frequency components only, the influence of lightings on face image recognition can be greatly reduced. Experimental results on Yale face database and our own face database show that the recognition rate of the Eigenface method on the lighting compensated images is increased significantly.
Original languageEnglish
Title of host publicationProceedings of the World Congress on Intelligent Control and Automation (WCICA)
Number of pages5
Publication statusPublished - 1 Dec 2006
Event6th World Congress on Intelligent Control and Automation, WCICA 2006 - Dalian, China
Duration: 21 Jun 200623 Jun 2006


Conference6th World Congress on Intelligent Control and Automation, WCICA 2006


  • Eigenface
  • Face recognition
  • Illumination compensation
  • Image processing
  • Wavelet analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Science Applications

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