Distortion-tolerant filter for elastic-distorted fingerprint matching

Craig I. Watson, Patrick J. Grother, David P. Casasent, David P. Casasent, Tien-Hsin Chao
2000 Optical Pattern Recognition XI  
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.
doi:10.1117/12.381591 fatcat:apokyu6yafgb7o2hijd2vnyy2u