Distortion-tolerant filter for elastic-distorted fingerprint matching

Craig I. Watson; Patrick J. Grother; David P. Casasent

doi:10.1117/12.381591

31 March 2000 Distortion-tolerant filter for elastic-distorted fingerprint matching

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

Proceedings Volume 4043, Optical Pattern Recognition XI; (2000) https://doi.org/10.1117/12.381591
Event: AeroSense 2000, 2000, Orlando, FL, United States

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 Download Citation

Craig I. Watson, Patrick J. Grother, and David P. Casasent "Distortion-tolerant filter for elastic-distorted fingerprint matching", Proc. SPIE 4043, Optical Pattern Recognition XI, (31 March 2000); https://doi.org/10.1117/12.381591

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