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dc.contributor.authorHirzel, Jan
dc.contributor.authorHartung, Daniel
dc.contributor.authorBusch, Christoph
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.date.accessioned2019-01-17T10:33:04Z
dc.date.available2019-01-17T10:33:04Z
dc.date.issued2010
dc.identifier.isbn978-3-88579-258-1
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/19572
dc.description.abstractIn 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.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2010: Biometrics and Electronic Signatures. Proceedings of the Special Interest Group on Biometrics and Electronic Signatures
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-164
dc.titleFingerprint recognition with cellular partitioning and co-sinusoidal tripletsen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages109-114
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationDarmstadt
mci.conference.date09.-10. September 2010


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