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Proceedings Paper

The effect of lighting direction/condition on the performance of face recognition algorithms
Author(s): Gamal Fahmy; Ahmed El-Sherbeeny; Susmita Mandala; Mohamed Abdel-Mottaleb; Hany Ammar
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Paper Abstract

In this paper, we measure the effect of the lighting direction in facial images on the performance of 2 well-known face recognition algorithms, an appearance based method and a facial feature based method. We collect hundreds/thousands of facial images of subjects with a fixed pose and under different lighting conditions through a unique facial acquisition laboratory designed specifically for this purpose. Then we present a methodology for automatically detecting the lighting direction of different face images based on statistics derived from the image. We also detect if there is any glare regions in some lighting directions. Finally we determine the most reliable lighting direction that will lead to a good quality/high performance facial image from both techniques based on our experiments with the acquired data.

Paper Details

Date Published: 17 April 2006
PDF: 13 pages
Proc. SPIE 6202, Biometric Technology for Human Identification III, 62020J (17 April 2006); doi: 10.1117/12.666527
Show Author Affiliations
Gamal Fahmy, West Virginia Univ. (United States)
Ahmed El-Sherbeeny, West Virginia Univ. (United States)
Susmita Mandala, West Virginia Univ. (United States)
Mohamed Abdel-Mottaleb, Univ. of Miami (United States)
Hany Ammar, West Virginia Univ. (United States)

Published in SPIE Proceedings Vol. 6202:
Biometric Technology for Human Identification III
Patrick J. Flynn; Sharath Pankanti, Editor(s)

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