Citation

Teoh, Andrew Beng Jin and Goh, Yi Zheng and Goh, Michael Kah Ong (2009) Wavelet-based illumination invariant preprocessing in face recognition. Journal of Electronic Imaging, 18 (2). 023001. ISSN 1017-9909

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Abstract

Performance of a contemporary two-dimensional face-recognition system has not been satisfied due to the variation in lighting. As a result, many works of solving illumination variation in face recognition have been carried out in past decades. Among them, the Illumination-Reflectance model is one of the generic models that is used to separate the individual reflectance and illumination components of an object. The illumination component can be removed by means of image-processing techniques to regain an intrinsic face feature, which is depicted by the reflectance component. We present a wavelet-based illumination invariant algorithm as a preprocessing technique for face recognition. On the basis of the multiresolution nature of wavelet analysis, we decompose both illumination and reflectance components from a face image in a systematic way. The illumination component wherein resides in the low-spatial-frequency subband can be eliminated efficiently. This technique works out very advantageously for achieving higher recognition performance on YaleB, CMU PIE, and FRGC face databases.

Item Type:	Article
Additional Information:	J. Electron. Imaging. 18(2), 023001 (September 24, 2008February 12, 2009February 16, 2009April 06, 2009). doi:10.1117/1.3112004 History: Received September 24, 2008; Revised February 12, 2009; Accepted February 16, 2009; Published April 06, 2009 Published in:Image and Signal Processing, 2008. CISP '08. Congress on (Volume:3 ) Date of Conference: 27-30 May 2008 Page(s): 421 - 425 Print ISBN: 978-0-7695-3119-9
Subjects:	Q Science > Q Science (General)
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	30 Dec 2013 03:45
Last Modified:	30 Dec 2013 03:52
URII:	http://shdl.mmu.edu.my/id/eprint/4684

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