A low cost finger vein authentication system, using maximum curvature points

dc.contributor.authorTagkalakis, Fotios
dc.contributor.authorFotopoulos, Vassilis
dc.date.accessioned2019-09-25T09:02:09Z
dc.date.available2019-09-25T09:02:09Z
dc.date.issued2015
dc.description.abstract-translatedFinger vein patterns have been proposed as a suitable biometric feature for authentication applications. Systems using this feature are generally low cost, accurate and easy to use. Such a system is described in this work. Infrared light is used to capture an image of a finger and a pattern recognition algorithm extracts the vein patterns. For robust and precise extraction of the depicted veins, a method of calculating local maximum curvatures in cross-sectional profiles of a vein image was used. The authentication algorithm has been evaluated with images acquired from the device built, as well as with images from a 400 fingers database. The false acceptance and false rejection rates obtained were promising.en
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citation2015 International Conference on Applied Electronics: Pilsen, 8th – 9th September 2015, Czech Republic, p.249-252.en
dc.identifier.isbn978-80-261-0385-1 (Print)
dc.identifier.isbn978-80-261-0386-8 (Online)
dc.identifier.issn1803-7232 (Print)
dc.identifier.issn1805-9597 (Online)
dc.identifier.urihttp://hdl.handle.net/11025/35132
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.rights© University of West Bohemiaen
dc.rights.accessopenAccessen
dc.subjectrobustnostcs
dc.subjectkamerycs
dc.subjectrozpoznání duhovkycs
dc.subjecttvářcs
dc.subjectrozpoznání otisku prstucs
dc.subjectpaleccs
dc.subject.translatedrobustnessen
dc.subject.translatedcamerasen
dc.subject.translatediris recognitionen
dc.subject.translatedfaceen
dc.subject.translatedfingerprint recognitionen
dc.subject.translatedthumben
dc.titleA low cost finger vein authentication system, using maximum curvature pointsen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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