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Proceedings Paper

Evaluation of image preprocessing techniques for eigenface-based face recognition
Author(s): Thomas Heseltine; Nick Pears; J. Austin
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Paper Abstract

We present a range of image processing tecimiques as potential pre-processing steps, which attempt to improve the performance of the eigenface method of face recognition. Verification tests are carried out by applying thresholds to gather false acceptance rate (FAR) and false rejection rate (FRR) results from a data set comprised of images that present typical difficulties when attempting recognition, such as strong variations in lighting direction and intensity, partially covered faces and changes in facial expression. Results are compared using the equal error rate (EER), which is the error rate when FAR is equal to FRR. We determine the most successful methods of image processing to be used with eigenface based face recognition, in application areas such as security, surveillance, data compression and archive searching.

Paper Details

Date Published: 31 July 2002
PDF: 9 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477052
Show Author Affiliations
Thomas Heseltine, Univ. of York (United States)
Nick Pears, Univ. of York (United Kingdom)
J. Austin, Univ. of York (United Kingdom)

Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics
Wei Sui, Editor(s)

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