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dc.contributor.authorChang, Shun-Hsun
dc.contributor.authorChen, Wen-Shiung
dc.date.accessioned2011-04-01T00:17:59Z
dc.date.accessioned2020-05-18T03:23:12Z-
dc.date.available2011-04-01T00:17:59Z
dc.date.available2020-05-18T03:23:12Z-
dc.date.issued2011-04-01T00:17:59Z
dc.date.submitted2009-11-28
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/30316-
dc.description.abstractThis paper presents a novel idea based on a kind of structure-based pattern, such as collarette, embedded in human iris for biometric recognition. The feature extraction module traces the collarette. The system encodes the features to generate its iris feature codes. Finally, the recognition module uses these feature codes for iris matching. The experimental results show that the system has an encouraging performance against the UBIRIS iris image database. The recognition rates up to 98.09%, 97.61%, and 96.35%, respectively, using 512-bit, 256-bit and 128-bit iris codes can be achieved.
dc.description.sponsorshipNational Taipei University,Taipei
dc.format.extent7p.
dc.relation.ispartofseriesNCS 2009
dc.subjectBiometric Recognition
dc.subjectIris
dc.subjectStructural Feature
dc.subjectCollarette
dc.subject.otherWorkshop on Image Processing, Computer Graphics, and Multimedia Technologies
dc.titleA NOVEL IRIS RECOGNITION USING STRUCTURAL FEATURE OF COLLARETTE
分類:2009年 NCS 全國計算機會議

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