6533b7d6fe1ef96bd1265ac0

RESEARCH PRODUCT

Performance evaluation of simple fingerprint minutiae extraction algorithm using crossing number on valley structure

Rudi Trisno YuwonoMichel PaindavoineL. EtpSunny Arief Sudiro

subject

MinutiaeMatching (graph theory)Computer sciencebusiness.industryFeature extractionPattern recognitionImage segmentationFingerprint recognitionFingerprintComputer visionAlgorithm designArtificial intelligencebusinessBlossom algorithm

description

In fingerprint recognition system, performance of fingerprint feature extraction algorithm is important. We use visual analysis to evaluate this performance. 100 respondents fill a questionnaire consisting of 30 images from fingerprint feature extraction process. We get 12,3 % minutiae points missed by this algorithm. With BOZORTH3 minutiae matching algorithm, the distribution of matching score of 80-fingerprint images are presented and we obtain EER 5.89 % at threshold value 180.

yearjournalcountryeditionlanguage
2008-12-012008 International Conference on Innovations in Information Technology
https://doi.org/10.1109/innovations.2008.4781731