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dc.contributor.authorAdam, M.
dc.contributor.authorRossant, F.
dc.contributor.authorAmiel, F.
dc.contributor.authorMikovikova, B.
dc.contributor.authorEa, T.
dc.date.accessioned2016-03-18T10:37:15Z
dc.date.available2016-03-18T10:37:15Z
dc.date.issued2008-12cs
dc.identifier.citationRadioengineering. 2008, vol. 17, č. 4, s. 82-85. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/57253
dc.description.abstractThis article presents a new eyelid localization algorithm based on a parabolic curve fitting. To deal with eyelashes, low contrast or false detection due to iris texture, we propose a two steps algorithm. First, possible edge candidates are selected by applying edge detection on a restricted area inside the iris. Then, a gradient maximization is applied along every parabola, on a larger area, to refine parameters and select the best one. Experiments have been conducted on a database of 151 iris that have been manually segmented. The performance evaluation is carried out by comparing the segmented images obtained by the proposed method with the manual segmentation. The results are satisfactory in more than 90% of the cases.en
dc.formattextcs
dc.format.extent82-85cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2008/08_04b_082_085.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectBiometric identificationen
dc.subjectiris analysisen
dc.subjecteyelid segmentationen
dc.subjectedge selectionen
dc.subjectcurve fittingen
dc.titleEyelid Localization for Iris Identificationen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue4cs
dc.coverage.volume17cs
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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