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Proceedings Paper

Palmprint authentication using multiple classifiers
Author(s): Ajay Kumar; David Zhang
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Paper Abstract

This paper investigates the performance improvement for palmprint authentication using multiple classifiers. The proposed methods on personal authentication using palmprints can be divided into three categories; appearance- , line -, and texture-based. A combination of these approaches can be used to achieve higher performance. We propose to simultaneously extract palmprint features from PCA, Line detectors and Gabor-filters and combine their corresponding matching scores. This paper also investigates the comparative performance of simple combination rules and the hybrid fusion strategy to achieve performance improvement. Our experimental results on the database of 100 users demonstrate the usefulness of such approach over those based on individual classifiers.

Paper Details

Date Published: 25 August 2004
PDF: 10 pages
Proc. SPIE 5404, Biometric Technology for Human Identification, (25 August 2004); doi: 10.1117/12.542764
Show Author Affiliations
Ajay Kumar, The Hong Kong Polytechnic Univ. (Hong Kong China)
David Zhang, The Hong Kong Polytechnic Univ. (Hong Kong China)


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

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