Vein pattern recognition using chain codes spatial information and skeleton fusing
| dc.contributor.author | Hartung, Daniel | |
| dc.contributor.author | Pflug, Anika | |
| dc.contributor.author | Busch, Christoph | |
| dc.contributor.editor | Suri, Neeraj | |
| dc.contributor.editor | Waidner, Michael | |
| dc.date.accessioned | 2018-11-19T13:11:41Z | |
| dc.date.available | 2018-11-19T13:11:41Z | |
| dc.date.issued | 2012 | |
| dc.description.abstract | Vein 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. | en |
| dc.identifier.isbn | 978-3-88579-289-5 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/18279 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | SICHERHEIT 2012 – Sicherheit, Schutz und Zuverlässigkeit | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-195 | |
| dc.title | Vein pattern recognition using chain codes spatial information and skeleton fusing | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 256 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 245 | |
| gi.conference.date | 7.-9. März 2012 | |
| gi.conference.location | Darmstadt | |
| gi.conference.sessiontitle | Regular Research Papers |
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