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dc.contributor.authorGul, Burak Kursat
dc.contributor.authorKurnaz, Cetin
dc.date.accessioned2020-06-21T13:39:32Z
dc.date.available2020-06-21T13:39:32Z
dc.date.issued2016
dc.identifier.isbn978-1-5090-1679-2
dc.identifier.urihttps://hdl.handle.net/20.500.12712/13623
dc.description24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEYen_US
dc.descriptionWOS: 000391250900457en_US
dc.description.abstractThe use of biometric recognition system that use the humans' specific characteristics electronically is increasing every day. Iris recognition system is a very effective and popular biometric recognition system. The system performance changes depend on the number of bits used in coding and the noise level. Therefore, in this study, the impact of the coding and noise on iris recognition system performance is examined. The optimal number of bits in coding stage is determined using a MATLAB simulator and 14 different eye images. Also, system performance was tested for different noise levels, and resolved at the highest noise level which system can work properly.en_US
dc.description.sponsorshipIEEE, Bulent Ecevit Univ, Dept Elect & Elect Engn, Bulent Ecevit Univ, Dept Biomed Engn, Bulent Ecevit Univ, Dept Comp Engnen_US
dc.language.isoturen_US
dc.publisherIeeeen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectbiometricsen_US
dc.subjectiris recognitionen_US
dc.subjectcodingen_US
dc.subjectimage processingen_US
dc.titleThe Impact of Coding and Noise on Iris Recognition System Performanceen_US
dc.typeconferenceObjecten_US
dc.contributor.departmentOMÜen_US
dc.identifier.startpage1921en_US
dc.identifier.endpage1924en_US
dc.relation.journal2016 24Th Signal Processing and Communication Application Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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