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Conference Paper: Minutiae Matching Based Fingerprint Verification Using Delaunay Triangulation and Aligned-Edge-Guided Triangle Matching

TitleMinutiae Matching Based Fingerprint Verification Using Delaunay Triangulation and Aligned-Edge-Guided Triangle Matching
Authors
Issue Date2005
PublisherSpringer Berlin Heidelberg.
Citation
The 5th International Conference, AVBPA 2005, Hilton Rye Town, NY, 20-22 July 2005. In Audio- and Video-Based Biometric Person Authentication: Lecture Notes in Computer Science, 2005, v. 3546, p. 270-278 How to Cite?
AbstractThis paper presents a novel minutiae matching approach to fingerprint verification. Given an input or a template fingerprint image, minutiae are extracted first. Using Delaunay triangulation, each fingerprint is then represented as a special connected graph with each node being a minutia point and each edge connecting two minutiae. Such a graph is used to define the neighborhood of a minutia that facilitates a local-structure-based matching of two minutiae from input and template fingerprints respectively. The possible alignment of an edge in input graph and an edge in template graph can be identified efficiently. A global matching score between two fingerprints is finally calculated by using an aligned-edge-guided triangle matching procedure. The effectiveness of the proposed approach is confirmed by a benchmark test on FVC2000 and FVC2002 databases.
Persistent Identifierhttp://hdl.handle.net/10722/207408
ISBN
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252

 

DC FieldValueLanguage
dc.contributor.authorDeng, Hen_US
dc.contributor.authorHuo, Qen_US
dc.date.accessioned2014-12-19T12:00:40Z-
dc.date.available2014-12-19T12:00:40Z-
dc.date.issued2005en_US
dc.identifier.citationThe 5th International Conference, AVBPA 2005, Hilton Rye Town, NY, 20-22 July 2005. In Audio- and Video-Based Biometric Person Authentication: Lecture Notes in Computer Science, 2005, v. 3546, p. 270-278en_US
dc.identifier.isbn978-3-540-27887-0-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10722/207408-
dc.description.abstractThis paper presents a novel minutiae matching approach to fingerprint verification. Given an input or a template fingerprint image, minutiae are extracted first. Using Delaunay triangulation, each fingerprint is then represented as a special connected graph with each node being a minutia point and each edge connecting two minutiae. Such a graph is used to define the neighborhood of a minutia that facilitates a local-structure-based matching of two minutiae from input and template fingerprints respectively. The possible alignment of an edge in input graph and an edge in template graph can be identified efficiently. A global matching score between two fingerprints is finally calculated by using an aligned-edge-guided triangle matching procedure. The effectiveness of the proposed approach is confirmed by a benchmark test on FVC2000 and FVC2002 databases.-
dc.languageengen_US
dc.publisherSpringer Berlin Heidelberg.en_US
dc.relation.ispartofAudio- and Video-Based Biometric Person Authentication: Lecture Notes in Computer Scienceen_US
dc.titleMinutiae Matching Based Fingerprint Verification Using Delaunay Triangulation and Aligned-Edge-Guided Triangle Matchingen_US
dc.typeConference_Paperen_US
dc.identifier.emailHuo, Q: qhuo@cs.hku.hken_US
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/11527923_28-
dc.identifier.hkuros101986en_US
dc.identifier.volume3546-
dc.identifier.spage270en_US
dc.identifier.epage278en_US
dc.publisher.placeBerlin-

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