Iris recognition system using combined histogram statistics

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dc.contributor.authorDemirel, Hasan
dc.contributor.authorAnbarjafari, Gholamreza
dc.date.accessioned2026-02-06T17:58:27Z
dc.date.issued2008
dc.departmentDoğu Akdeniz Üniversitesi
dc.description2008 23rd International Symposium on Computer and Information Sciences, ISCIS 2008 --
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. © 2008 IEEE.
dc.identifier.doi10.1109/ISCIS.2008.4717879
dc.identifier.isbn9781424428816
dc.identifier.scopus2-s2.0-58449091520
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ISCIS.2008.4717879
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/
dc.identifier.urihttps://hdl.handle.net/11129/7572
dc.indekslendigikaynakScopus
dc.language.isoen
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260204
dc.subjectBiometrics
dc.subjectInformation science
dc.subjectPixels
dc.subjectCross correlations
dc.subjectFeature vector (FV)
dc.subjectHistogram statistics
dc.subjectIris images
dc.subjectIris recognition
dc.subjectMajority voting
dc.subjectPixel statistics
dc.subjectRecognition rates
dc.subjectRegression analysis
dc.titleIris recognition system using combined histogram statistics
dc.typeConference Object

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