IRIS RECOGNITION SYSTEM USING COMBINED HISTOGRAM STATISTICS

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dc.contributor.authorDemirel, Hasan
dc.contributor.authorAnbarjafari, Gholamreza
dc.date.accessioned2026-02-06T18:17:02Z
dc.date.issued2008
dc.departmentDoğu Akdeniz Üniversitesi
dc.description23rd International Symposium on Computer and Information Sciences (ISCIS) -- OCT 27-29, 2008 -- Istanbul, TURKEY
dc.description.abstractThis paper proposes a novel iris recognition system based on matching colour pixel statistics. The proposed system uses colour histograms as pixel statistic feature vectors for recognition of irises by cross correlation between the histogram of a given iris and the histograms of irises in the database. Majority voting (MV) has been applied to achieve the final recognition. Iris images taken from the UPOL are pre-processed and segmented. The proposed system gives a 100% recognition rate on 64 iris images. The reliability of the proposed system is demonstrated by providing FRR and FAR curves with 0.00% EER.
dc.identifier.endpage143
dc.identifier.isbn978-1-4244-2880-9
dc.identifier.orcid0000-0001-8460-5717
dc.identifier.scopusqualityN/A
dc.identifier.startpage140
dc.identifier.urihttps://hdl.handle.net/11129/8755
dc.identifier.wosWOS:000265160400027
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof23Rd International Symposium on Computer and Information Sciences
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260204
dc.titleIRIS RECOGNITION SYSTEM USING COMBINED HISTOGRAM STATISTICS
dc.typeConference Object

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