Iris recognition system by using support vector machines

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dc.contributor.authorAli, Hasimah
dc.contributor.authorSalami, Momoh-Jimoh E.
dc.date.accessioned2019-10-24T10:41:02Z
dc.date.available2019-10-24T10:41:02Z
dc.date.issued2008-05-13
dc.description.abstractIn recent years, with the increasing demands of security in our networked society, biometric systems for user verification are becoming more popular. Iris recognition system is a new technology for user verification. In this paper, the CASIA iris database is used for individual userpsilas verification by using support vector machines (SVMs) which based on the analysis of iris code as feature extraction is discussed. This feature is then used to recognize authentic users and to reject impostors. Support Vector Machines (SVMs) technique was used for the classification process. The proposed method is evaluated based upon False Rejection Rate (FRR) and False Acceptance Rate (FAR) and the experimental result show that this technique produces good performance.en_US
dc.identifier.citationAli, H., & Salami, M. J. (2008, May). Iris recognition system by using support vector machines. In 2008 International Conference on Computer and Communication Engineering (pp. 516-521). IEEE.en_US
dc.identifier.uri10.1109/ICCCE.2008.4580657
dc.identifier.urihttp://repository.elizadeuniversity.edu.ng/handle/20.500.12398/599
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectIris recognitionen_US
dc.subjectSupport vector machinesen_US
dc.subjectBiometricsen_US
dc.subjectSecurityen_US
dc.subjectFeature extractionen_US
dc.subjectSystem testingen_US
dc.subjectSupport vector machine classificationen_US
dc.subjectPattern matchingen_US
dc.subjectComputer networksen_US
dc.subjectMechatronicsen_US
dc.titleIris recognition system by using support vector machinesen_US
dc.typeArticleen_US
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