Wavelet-based illumination compensation for face recognition using eigenface method

Wang Wei; Song Jiatao; Yang Zhongxiu; Zheru Chi

doi:10.1109/WCICA.2006.1714031

Wavelet-based illumination compensation for face recognition using eigenface method

Wang Wei, Song Jiatao, Yang Zhongxiu, Zheru Chi

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

10 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Pages	10356-10360
Number of pages	5
Volume	2
DOIs	https://doi.org/10.1109/WCICA.2006.1714031
Publication status	Published - 1 Dec 2006
Event	6th World Congress on Intelligent Control and Automation, WCICA 2006 - Dalian, China Duration: 21 Jun 2006 → 23 Jun 2006

Conference

Conference	6th World Congress on Intelligent Control and Automation, WCICA 2006
Country	China
City	Dalian
Period	21/06/06 → 23/06/06

Keywords

Eigenface
Face recognition
Illumination compensation
Image processing
Wavelet analysis

ASJC Scopus subject areas

Control and Systems Engineering
Software
Computer Science Applications

More information

10.1109/WCICA.2006.1714031

Cite this

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title = "Wavelet-based illumination compensation for face recognition using eigenface method",

abstract = "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.",

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Wei, W, Jiatao, S, Zhongxiu, Y & Chi, Z 2006, Wavelet-based illumination compensation for face recognition using eigenface method. in Proceedings of the World Congress on Intelligent Control and Automation (WCICA). vol. 2, 1714031, pp. 10356-10360, 6th World Congress on Intelligent Control and Automation, WCICA 2006, Dalian, China, 21/06/06. https://doi.org/10.1109/WCICA.2006.1714031

Wavelet-based illumination compensation for face recognition using eigenface method. / Wei, Wang; Jiatao, Song; Zhongxiu, Yang; Chi, Zheru.

Proceedings of the World Congress on Intelligent Control and Automation (WCICA). Vol. 2 2006. p. 10356-10360 1714031.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - 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.

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