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Proceedings Paper

Combining multiple face recognition systems using Fisher's linear discriminant
Author(s): Thomas Heseltine; Nick Pears; Jim Austin
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Paper Abstract

The application of image processing as a pre-processing step to methods of face recognition can significantly improve recognition accuracy. However, different image processing techniques provide different advantages, enhancing specific features or normalising certain capture conditions. We introduce a new method of isolating these useful qualities from a range of image subspaces using Fisher's linear discriminant and combining them to create a more effective image subspace, utilising the advantages offered by numerous image processing techniques and ultimately reducing recognition error. Systems are evaluated by performing up to 258,840 verification operations on a large test set of images presenting typical difficulties when performing recognition. Results are presented in the form of error rate curves, showing false acceptance rate (FAR) vs. false rejection rate (FRR), generated by varying a decision threshold applied to the euclidean distance metric performed in combined face space.

Paper Details

Date Published: 25 August 2004
PDF: 12 pages
Proc. SPIE 5404, Biometric Technology for Human Identification, (25 August 2004); doi: 10.1117/12.542033
Show Author Affiliations
Thomas Heseltine, The Univ. of York (United Kingdom)
Nick Pears, The Univ. of York (United Kingdom)
Jim Austin, The Univ. of York (United Kingdom)


Published in SPIE Proceedings Vol. 5404:
Biometric Technology for Human Identification
Anil K. Jain; Nalini K. Ratha, Editor(s)

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