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dc.contributor.authorBingol, Ozkan
dc.contributor.authorEkinci, Murat
dc.date.accessioned2021-11-09T19:43:36Z
dc.date.available2021-11-09T19:43:36Z
dc.date.issued2013
dc.identifier.isbn978-1-4673-5563-6; 978-1-4673-5562-9
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.12440/3659
dc.description21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUSen_US
dc.description.abstractAlthough studies on the palm recognition systems achieving are high performance ratios, hygiene problems in contact systems and change of hand pose in contactless systems were encountered. 3D recognition systems is proposed for solve these problems. But, these systems did not find the opportunity to become widespread because of expensive technologies and low scanning speed. In this study was proposed a method for detemined pose variations of palmprint using stereo cameras and transferring patterns that to be used for recognition to 2D space. Thus, both a non-contact system will be obtained and can be used properties of strong 2D recognition systems.en_US
dc.language.isoturen_US
dc.publisherIEEEen_US
dc.relation.ispartof2013 21st Signal Processing and Communications Applications Conference (Siu)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPalmprint recognition systemsen_US
dc.subjectstereo cameraen_US
dc.subject3 dimensionen_US
dc.subject2 dimensionen_US
dc.title3D Palmprint Pose Estimation Using Stereo Cameraen_US
dc.typeconferenceObjecten_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.description.wospublicationidWOS:000325005300228en_US
dc.description.scopuspublicationid2-s2.0-84880853949en_US
dc.departmentGümüşhane Üniversitesien_US
dc.authorwosidEkinci, Murat / A-9653-2012
dc.authorscopusid37036764200
dc.authorscopusid23018821200


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