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Conference Paper: Minutiae Matching Based Fingerprint Verification Using Delaunay Triangulation and Aligned-Edge-Guided Triangle Matching
Title | Minutiae Matching Based Fingerprint Verification Using Delaunay Triangulation and Aligned-Edge-Guided Triangle Matching |
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Authors | |
Issue Date | 2005 |
Publisher | Springer Berlin Heidelberg. |
Citation | The 5th International Conference on Audio- and Video-Based Biometric Person Authentication (AVBPA 2005), Hilton Rye Town, NY., 20-22 July 2005. In Conference Proceedings, 2005, v. 3546, p. 270-278 How to Cite? |
Abstract | This 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. |
Description | LNCS v. 3546 entitled: Audio- and Video-Based Biometric Person Authentication |
Persistent Identifier | http://hdl.handle.net/10722/207408 |
ISBN | |
ISSN | 2023 SCImago Journal Rankings: 0.606 |
DC Field | Value | Language |
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dc.contributor.author | Deng, H | en_US |
dc.contributor.author | Huo, Q | en_US |
dc.date.accessioned | 2014-12-19T12:00:40Z | - |
dc.date.available | 2014-12-19T12:00:40Z | - |
dc.date.issued | 2005 | en_US |
dc.identifier.citation | The 5th International Conference on Audio- and Video-Based Biometric Person Authentication (AVBPA 2005), Hilton Rye Town, NY., 20-22 July 2005. In Conference Proceedings, 2005, v. 3546, p. 270-278 | en_US |
dc.identifier.isbn | 978-3-540-27887-0 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | http://hdl.handle.net/10722/207408 | - |
dc.description | LNCS v. 3546 entitled: Audio- and Video-Based Biometric Person Authentication | - |
dc.description.abstract | This 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.language | eng | en_US |
dc.publisher | Springer Berlin Heidelberg. | en_US |
dc.relation.ispartof | Lecture Notes in Computer Science | en_US |
dc.title | Minutiae Matching Based Fingerprint Verification Using Delaunay Triangulation and Aligned-Edge-Guided Triangle Matching | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Huo, Q: qhuo@cs.hku.hk | en_US |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/11527923_28 | - |
dc.identifier.scopus | eid_2-s2.0-26444487592 | - |
dc.identifier.hkuros | 101986 | en_US |
dc.identifier.volume | 3546 | - |
dc.identifier.spage | 270 | en_US |
dc.identifier.epage | 278 | en_US |
dc.publisher.place | Germany | - |
dc.customcontrol.immutable | sml 170602 amended | - |
dc.identifier.issnl | 0302-9743 | - |