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Distortion-Tolerant Filter for Elastic-Distorted Fingerprint Matching

Published

Author(s)

Craig I. Watson, Patrick J. Grother, D P. Casasent

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.
Citation
- 6489
Report Number
6489

Keywords

distortion-tolerant filter, elastic distortion, fingerprint, MINACE, NIST Special Database 24

Citation

Watson, C. , Grother, P. and Casasent, D. (2000), Distortion-Tolerant Filter for Elastic-Distorted Fingerprint Matching, - 6489, National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.6489 (Accessed July 20, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created March 1, 2000, Updated November 10, 2018