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Proceedings Paper

Distortion-tolerant filter for elastic-distorted fingerprint matching
Author(s): Craig I. Watson; Patrick J. Grother; David P. Casasent
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Paper Abstract

This paper gives results for using distortion tolerant filters to improve performance of fingerprint correlation matching. Three types of distortion tolerant filters were tested: summation, weighted, and MINACE. A set of 55 fingers were used from NIST Special Database 24 to evaluate the filters. Our results show performance was improved from 49% correct, using one training fingerprint, to 100% correct, using multiple training fingerprints, and a distortion- tolerant MINACE filter, with no false alarms.

Paper Details

Date Published: 31 March 2000
PDF: 9 pages
Proc. SPIE 4043, Optical Pattern Recognition XI, (31 March 2000); doi: 10.1117/12.381591
Show Author Affiliations
Craig I. Watson, National Institute of Standards and Technology (United States)
Patrick J. Grother, National Institute of Standards and Technology (United States)
David P. Casasent, Carnegie Mellon Univ. (United States)

Published in SPIE Proceedings Vol. 4043:
Optical Pattern Recognition XI
David P. Casasent; Tien-Hsin Chao, Editor(s)

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