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A versatile iris segmentation algorithm

dc.contributor.authorRadu, Petru
dc.contributor.authorSirlantzis, Konstantinos
dc.contributor.authorHowells, Gareth
dc.contributor.authorHoque, Sanaul
dc.contributor.authorDeravi, Farzin
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.date.accessioned2018-11-27T09:53:27Z
dc.date.available2018-11-27T09:53:27Z
dc.date.issued2011
dc.description.abstractIn biometric authentication, iris recognition was shown to be one of the most accurate techniques. In unconstrained environment and capture conditions (e.g. with hand-held devices used outdoors), the iris image may be contaminated by noise and distortions which makes the iris segmentation and recognition process difficult. This paper presents a novel iris segmentation algorithm that addresses some of the issues raised by unconstrained iris recognition. There are two main contributions in the present work: first, the proposed segmentation algorithm is able to cope efficiently with both near infra red and visible spectrum images; second, the algorithm speed can be increased significantly with a minimal reduction in accuracy. The versatility of the algorithm has been tested using both near infrared iris images acquired with a hand-held device and colour iris images acquired in unconstrained environment.en
dc.identifier.isbn978-3-88579-285-7
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/18535
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.titleA versatile iris segmentation algorithmen
dc.typeText/Conference Paper
gi.citation.endPage149
gi.citation.publisherPlaceBonn
gi.citation.startPage137
gi.conference.date08.-09. September 2011
gi.conference.locationDarmstadt
gi.conference.sessiontitleRegular Research Papers

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