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dc.contributor.authorHartung, Daniel
dc.contributor.authorPflug, Anika
dc.contributor.authorBusch, Christoph
dc.date.accessioned2012-05-21T10:50:31Z
dc.date.available2012-05-21T10:50:31Z
dc.date.issued2012
dc.identifier.citationHartung, D., Pflug, A. & Busch, C. (2012) Vein Pattern Recognition Using Chain Codes, Spatial Information and Skeleton Fusing. In: Lecture Notes in Informatics, Sicherheit 2012: Sicherheit, Schutz und Zuverlässigkeit Beiträge der 6. Jahrestagung des Fachbereichs Sicherheit der Gesellschaft für Informatik e.V. (GI); 7.–9. März 2012, Darmstadt: Gesellschaft für Informatik, p. 245-156.no_NO
dc.identifier.isbn978-3-88579-289-5no_NO
dc.identifier.issn1617-5468
dc.identifier.urihttp://hdl.handle.net/11250/142530
dc.descriptionThis is the publisher's copy of the book chapter originally published in: Suri, N. & Waidner, M. (ed.) (2012) Sicherheit 2012: Sicherheit, Schutz und Zuverlässigkeit Beiträge der 6. Jahrestagung des Fachbereichs Sicherheit der Gesellschaft für Informatik e.V. (GI); 7.–9. März 2012, Darmstadt: Gesellschaft für Informatik.Reprinted with permission from Gesellschaft für Informatik.no_NO
dc.description.abstractVein patterns are a unique attribute of each individual and can therefore be used as a biometric characteristic. Exploiting the specific near infrared light absorption properties of blood, the vein capture procedure is convenient and allows contact-less sensors. We propose a new chain code based feature encoding method, using spacial and orientation properties of vein patterns. The proposed comparison method has been evaluated in a series of different experiments in single and multi-reference scenarios on different vein image databases. The experiments show a competitive or higher biometric performance compared to a selection of minutiae-based comparison methods and other point-to-point comparison algorithms.no_NO
dc.language.isoengno_NO
dc.publisherGesellschaft für Informatikno_NO
dc.subjectvein patternsno_NO
dc.subjectbiometrino_NO
dc.subjectchain codeno_NO
dc.titleVein Pattern Recognition Using Chain Codes, Spatial Information and Skeleton Fusingno_NO
dc.typeChapterno_NO
dc.typePeer reviewedno_NO
dc.subject.nsiVDP::Mathematics and natural science: 400::Information and communication science: 420::Security and vulnerability: 424no_NO
dc.source.pagenumber245-156no_NO
dc.source.volume195no_NO
dc.source.journalLecture Notes in Informaticsno_NO


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