An efficient iris recognition system based on Modular Neural Networks

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dc.contributor.authorKocer, H. Erdinc
dc.contributor.authorAllahverdi, Novruz
dc.date.accessioned2020-03-26T17:26:23Z
dc.date.available2020-03-26T17:26:23Z
dc.date.issued2008
dc.departmentSelçuk Üniversitesien_US
dc.description9th WSEAS International Conference on Neural Networks (NN 08) -- MAY 02-04, 2008 -- Tech Univ Sofia, Sofia, BULGARIAen_US
dc.description.abstractIn this paper, we propose a neural network based iris recognition approach by analyzing iris patterns. The iris recognition system consists of iris localization, feature extraction and classification of the iris images. Hough transforms were used for localizing the iris region; Cartesian to polar coordinate transform was used for transforming the ring shaped iris image to the rectangular shape. Then, histogram equalization was applied to the iris image for making the shapes in image more distinctive. Average absolute deviation (AAD) algorithm was used for feature extraction in this approach. In matching process, Multi-Layered Perceptron (MLP) and Modular Neural Networks (MNN) are applied to the iris feature vector for classifying the iris images. In fact, this research is focused on measuring the performance of MNN in iris recognition system compared with Multi-Layered Perceptron (MLP) neural network. The gray-level iris images, experimented in this work, were obtained from Institute of Automation Chinese Academy of Science (CASIA) iris images database and Departments of Informatics University of Beira Interior (UBIRIS) iris images database. Experimental results are given in the last stage of this paper.en_US
dc.identifier.endpage47en_US
dc.identifier.isbn978-960-6766-56-5
dc.identifier.startpage42en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/22197
dc.identifier.wosWOS:000257699300009en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherWORLD SCIENTIFIC AND ENGINEERING ACAD AND SOCen_US
dc.relation.ispartofPROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON NEURAL NETWORKS (NN' 08): ADVANCED TOPICS ON NEURAL NETWORKSen_US
dc.relation.ispartofseriesArtificial Intelligence Series-WSEAS
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectbiometricen_US
dc.subjectiris recognitionen_US
dc.subjectModular Neural Networksen_US
dc.titleAn efficient iris recognition system based on Modular Neural Networksen_US
dc.typeConference Objecten_US

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