ARTIFICIAL NEURAL NETWORKS BASED RECOGNITION OF SELECTED PALMPRINT FEATURES

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dc.contributor.authorAltun, Adem Alpaslan
dc.contributor.authorNooraliei, Amir
dc.date.accessioned2020-03-26T17:37:54Z
dc.date.available2020-03-26T17:37:54Z
dc.date.issued2009
dc.departmentSelçuk Üniversitesien_US
dc.description2nd International Conference on Advanced Computer Theory and Engineering (ICACTE 2009) -- SEP 25-27, 2009 -- Cairo, EGYPTen_US
dc.description.abstractBiometric recognition suggests a reliable solution to the problem of user authentication in our networked society. Among all biometrics, palmprint-based recognition is one of the most reliable personal identification methods. In this study, a new approach to the palmprint recognition phase is presented. 2D Gabor filters are used for feature extraction of palmprints. After Gabor filtering, standard deviations are computed in order to generate the palmprint feature vector. In addition, Genetic algorithm based feature selection is used to select the best feature subset from the palmprint feature set. Four different algorithms of Artificial Neural Networks are then applied to the feature vectors for recognition of the people. Recognition rate equal to 98 percent are obtained by using conjugate gradient algorithms.en_US
dc.description.sponsorshipIACSIT Comp Theory & Engn Soc, Modeling & Simulat Soc, IACSITen_US
dc.identifier.endpage641en_US
dc.identifier.isbn978-0-79180-297-7
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage633en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/23298
dc.identifier.wosWOS:000271545700077en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherAMER SOC MECHANICAL ENGINEERSen_US
dc.relation.ispartofPROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING (ICACTE 2009), VOLS 1 AND 2en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectPalmprint recognitionen_US
dc.subjectArtificial Neural Networksen_US
dc.subject2D Gabor filteren_US
dc.titleARTIFICIAL NEURAL NETWORKS BASED RECOGNITION OF SELECTED PALMPRINT FEATURESen_US
dc.typeConference Objecten_US

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