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Proceedings Paper

Multimodal biometric fusion using data quality information
Author(s): Yu-Chiang Wang; David Casasent
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Paper Abstract

Prior studies of multimodal biometric fusion have shown that it can improve performance over use of a single unimodal biometric. The well-known multimodal methods do not consider the quality information of the data used when combining the results from different matchers. In addition to examining these well-known fusion methods, we introduce novel methods of fusion which combine face and fingerprint biometric results using fingerprint data quality information. We show that multimodal biometric fusion using data quality information outperforms standard multimodal results and unimodal systems.

Paper Details

Date Published: 28 March 2005
PDF: 10 pages
Proc. SPIE 5816, Optical Pattern Recognition XVI, (28 March 2005); doi: 10.1117/12.611931
Show Author Affiliations
Yu-Chiang Wang, Carnegie Mellon Univ. (United States)
David Casasent, Carnegie Mellon Univ. (United States)

Published in SPIE Proceedings Vol. 5816:
Optical Pattern Recognition XVI
David P. Casasent; Tien-Hsin Chao, Editor(s)

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