论文信息 - Distortion-tolerant filter for elastic-distorted fingerprint matching

Distortion-tolerant filter for elastic-distorted fingerprint matching

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.

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