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Increasing the distinctiveness of hand vein images by oriented gradient maps

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dc.contributor.authorChen, Liming
dc.contributor.authorHuang, Di
dc.contributor.authorChiheb, Hmida
dc.contributor.authorAmar, Chokri Ben
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.date.accessioned2018-11-27T09:53:29Z
dc.date.available2018-11-27T09:53:29Z
dc.date.issued2011
dc.description.abstractHand vein pattern as a biometric trait for people identification has attracted an increasing interest in the recent years thanks to its properties of uniqueness, permanence, non-invasiveness and strong immunity to forgery. In this paper, we propose to make use of Oriented Gradient Maps (OGMs), that we previously proposed for face recognition using the term of Perceived Facial Images (PFIs), to represent Near-Infrared (NIR) hand dorsa vein images and to highlight the distinctiveness of hand vein patterns. Using a holistic approach through both the popular PCA and LDA, we benchmarked the proposed hand vein representations on the NCUT dataset of 2040 hand vein images and demonstrated the effectiveness of the proposed hand vein representations.en
dc.identifier.isbn978-3-88579-285-7
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/18545
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2011 – Proceedings of the Biometrics Special Interest Group
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-191
dc.titleIncreasing the distinctiveness of hand vein images by oriented gradient mapsen
dc.typeText/Conference Paper
gi.citation.endPage234
gi.citation.publisherPlaceBonn
gi.citation.startPage227
gi.conference.date08.-09. September 2011
gi.conference.locationDarmstadt
gi.conference.sessiontitleRegular Research Papers

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P191 - BIOSIG 2011 - Proceedings of the 10th International Conference of the Biometrics Special Interest Group