Fingerprint recognition with cellular partitioning and co-sinusoidal triplets
dc.contributor.author | Hirzel, Jan | |
dc.contributor.author | Hartung, Daniel | |
dc.contributor.author | Busch, Christoph | |
dc.contributor.editor | Brömme, Arslan | |
dc.contributor.editor | Busch, Christoph | |
dc.date.accessioned | 2019-01-17T10:33:04Z | |
dc.date.available | 2019-01-17T10:33:04Z | |
dc.date.issued | 2010 | |
dc.description.abstract | In this fingerprint verification approach, a fingerprint image is divided into equally sized cells and the pattern is represented by a substitute resulting in a feature vector of fixed length. A related ISO standard recommends three different approaches for the selection of these. It suggests a cell size of approximately two ridges per cell. For the co-sinusoidal triplet approach for the retrieval of the spectral component this assumption was investigated. The influence of the cell size on the biometric performance was supported and additionally, a sound comparison method was implemented. To maintain a comprehensible evaluation the open Fingerprint Verification Competition (FVC) databases FVC2000 and FVC2002 were used. | en |
dc.identifier.isbn | 978-3-88579-258-1 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/19572 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | BIOSIG 2010: Biometrics and Electronic Signatures. Proceedings of the Special Interest Group on Biometrics and Electronic Signatures | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-164 | |
dc.title | Fingerprint recognition with cellular partitioning and co-sinusoidal triplets | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 114 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 109 | |
gi.conference.date | 09.-10. September 2010 | |
gi.conference.location | Darmstadt | |
gi.conference.sessiontitle | Regular Research Papers |
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