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Generating and analyzing synthetic finger vein images

dc.contributor.authorHillerström, Fieke
dc.contributor.authorKumar, Ajay
dc.contributor.authorVeldhuis, Raymond N. J.
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.date.accessioned2017-07-26T10:54:16Z
dc.date.available2017-07-26T10:54:16Z
dc.date.issued2014
dc.description.abstractThe finger-vein biometric offers a higher degree of security, personal privacy and strong anti-spoofing capabilities than most other biometric modalities employed today. Emerging privacy concerns with the database acquisition and lack of availability of large scale finger-vein databases have posed challenges in exploring this technology for large scale applications. This paper details the first attempt to synthesize finger-vein images and presents analysis of synthesized images for the biometrics authentication. We generate a database of 50,000 fingervein images, corresponding to 5000 different subjects, with 10 different synthesized finger-vein images from each of the subject. We use tractable probability models to compare synthesized finger-vein images with the real fingervein images for their image variability. This paper also presents matching accuracy using the synthesized finger-vein database from 5000 different subjects, using 225,000 genuine and 1249,750,000 impostor matching scores, which suggests significant promises from finger-vein biometric modality for the large scale biometrics applications.en
dc.identifier.isbn978-3-88579-624-4
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2014
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-230
dc.titleGenerating and analyzing synthetic finger vein imagesen
dc.typeText/Conference Paper
gi.citation.endPage132
gi.citation.publisherPlaceBonn
gi.citation.startPage121
gi.conference.date10.-12. September 2014
gi.conference.locationDarmstadt

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