Palmprint verification using SIFT majority voting

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dc.authorid0000-0003-0298-0690
dc.contributor.authorAbeysundera, Hasith Pasinduen_US
dc.contributor.authorEskil, Mustafa Taneren_US
dc.date.accessioned2015-12-10T07:34:06Z
dc.date.available2015-12-10T07:34:06Z
dc.date.issued2012
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Computer Engineeringen_US
dc.description.abstractIn this paper we illustrate the implementation of a robust, real-time biometric system for identity verification based on palmprint images. The palmprint images are preprocessed to align the major axes of hand shapes and to extract the palm region. We extract features using Scale Invariant Feature Transform (SIFT). Classification of individual SIFT features is done through KNN. The class of the hand image is decided by a majority based voting among its classified SIFT features. We demonstrate on the CASIA and PolyU datasets that the proposed system achieves authentication accuracy comparable to other state of the art algorithms.en_US
dc.description.sponsorshipThis research is part of project "Expression Recognition based on Facial Anatomy", grant number 109E061, supported by The Support Programme for Scientific and Technological Research Projects (1001) of The Scientific and Technological Research Council of Turkey (TUBITAK). Portions of the research in this paper use CASIA-Iris V3 database collected by the Chinese Academy of Sciences Institute of Automation (CASIA) and the PolyU database collected by the Department of Computing in Hong Kong Polytechnic University.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationAbeysundera, H. P. & Eskil, M. T. (2012). Palmprint verification using SIFT majority voting. Paper presented at the Computer and Information Sciences II, 291-297. doi:10.1007/978-1-4471-2155-8_37en_US
dc.identifier.doi10.1007/978-1-4471-2155-8_37
dc.identifier.endpage297
dc.identifier.isbn9781447121558
dc.identifier.isbn9781447121541
dc.identifier.scopus2-s2.0-84887838104
dc.identifier.scopusqualityN/A
dc.identifier.startpage291
dc.identifier.urihttps://hdl.handle.net/11729/740
dc.identifier.urihttp://dx.doi.org/10.1007/978-1-4471-2155-8_37
dc.identifier.wosWOS:000398249500037
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakConference Proceedings Citation Index – Science (CPCI-S)en_US
dc.institutionauthorAbeysundera, Hasith Pasinduen_US
dc.institutionauthorEskil, Mustafa Taneren_US
dc.institutionauthorid0000-0003-0298-0690
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherSpringer-Verlagen_US
dc.relation.ispartofComputer and Information Sciences IIen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBiometric identificationen_US
dc.subjectKNNen_US
dc.subjectMajority votingen_US
dc.subjectPalmprint verificationen_US
dc.subjectSIFTen_US
dc.subjectBiometricsen_US
dc.subjectInformation scienceen_US
dc.subjectAnthropometryen_US
dc.titlePalmprint verification using SIFT majority votingen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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