Image quality-based adaptive illumination normalisation for face recognition

Sellahewa, Harin and Jassim, Sabah A. (2009) Image quality-based adaptive illumination normalisation for face recognition. In: Optics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI, 13 -16 April 2009, Orlando, FL; United States.

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Official URL: http://doi.org/10.1117/12.819087

Abstract

Automatic face recognition is a challenging task due to intra-class variations. Changes in lighting conditions during enrolment and identification stages contribute significantly to these intra-class variations. A common approach to address the effects such of varying conditions is to pre-process the biometric samples in order normalise intra-class variations. Histogram equalisation is a widely used illumination normalisation technique in face recognition. However, a recent study has shown that applying histogram equalisation on well-lit face images could lead to a decrease in recognition accuracy. This paper presents a dynamic approach to illumination normalisation, based on face image quality. The quality of a given face image is measured in terms of its luminance distortion by comparing this image against a known reference face image. Histogram equalisation is applied to a probe image if its luminance distortion is higher than a predefined threshold. We tested the proposed adaptive illumination normalisation method on the widely used Extended Yale Face Database B. Identification results demonstrate that our adaptive normalisation produces better identification accuracy compared to the conventional approach where every image is normalised, irrespective of the lighting condition they were acquired.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Citation format: Harin Sellahewa and Sabah A. Jassim, "Image quality-based adaptive illumination normalisation for face recognition", Proc. SPIE 7306, Optics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI, 73061V (May 05, 2009); doi:10.1117/12.819087; http://dx.doi.org/10.1117/12.819087 Copyright notice format: Copyright 2009 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.” (http://spie.org/x1125.xml)
Uncontrolled Keywords: Human face recognition (Computer science), Wavelets (Mathematics)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: School of Science > Applied Computing
Depositing User: Harin Sellahewa
Date Deposited: 28 Jul 2015 15:23
Last Modified: 11 Sep 2015 14:33
URI: http://bear.buckingham.ac.uk/id/eprint/37

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