Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5773
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dc.contributor.authorSütçü, Y.-
dc.contributor.authorSencar, Hüsrev Taha-
dc.contributor.authorMemon, N.-
dc.date.accessioned2021-09-11T15:19:59Z-
dc.date.available2021-09-11T15:19:59Z-
dc.date.issued2010en_US
dc.identifier.citation2010 20th International Conference on Pattern Recognition, ICPR 2010, 23 August 2010 through 26 August 2010, Istanbul, 82392en_US
dc.identifier.isbn9780769541099-
dc.identifier.issn1051-4651-
dc.identifier.urihttps://doi.org/10.1109/ICPR.2010.363-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/5773-
dc.description.abstractBeing able to measure the actual information content of biometrics is very important but also a challenging problem. Main difficulty here is not only related to the selected feature representation of the biometric data, but also related to the matching algorithm employed in biometric systems. In this paper, we propose a new measure for measuring biometric information using relative entropy between intra-user and interuser distance distributions. As an example, we evaluated the proposed measure on a face image dataset. © 2010 IEEE.en_US
dc.language.isoenen_US
dc.relation.ispartofProceedings - International Conference on Pattern Recognitionen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBiometric informationen_US
dc.subjectRelative entropyen_US
dc.titleHow To Measure Biometric Information?en_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.startpage1469en_US
dc.identifier.endpage1472en_US
dc.identifier.scopus2-s2.0-78149486986en_US
dc.institutionauthorSencar, Hüsrev Taha-
dc.identifier.doi10.1109/ICPR.2010.363-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference2010 20th International Conference on Pattern Recognition, ICPR 2010en_US
dc.identifier.scopusquality--
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.3. Department of Computer Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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