Laws doku enerji ölçümü tabanlı k-NN sınıflandırıcı modeli ile iris tanıma sistemi

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dc.contributor.authorAcar, Emrullah
dc.contributor.authorÖzerdem, Mehmet Siraç
dc.date.accessioned2024-04-24T17:56:27Z
dc.date.available2024-04-24T17:56:27Z
dc.date.issued2013
dc.departmentDicle Üniversitesien_US
dc.description2013 21st Signal Processing and Communications Applications Conference, SIU 2013 -- 24 April 2013 through 26 April 2013 -- Haspolat-- 98109en_US
dc.description.abstractBiometric recognition technology is correlated generally with very expensive top secure applications. Iris recognition system is one of the effective biometric recognition systems. The main purpose of this study is to recognize the human from different eye images according to their iris texture characteristics. The digital crop images are derived from CASIA iris image database. The texture feature vectors are extracted from the local iris regions by using Laws Texture Energy Measure (TEM) which is a new method for image texture feature extraction. The obtained feature vectors are separated by k-Nearest Neighbor (k-NN) classifier as taking the neighbor number (k) parameter in different values and the performance results of each system are compared according to disparate k values. Finally, the best average performance is observed as 80.74 % in k=1 and 2 neighbors structure of k-NN classifier.en_US
dc.identifier.citationAcar, E. ve Özerdem, M. S. (2013). Laws doku enerji ölçümü tabanlı k-NN sınıflandırıcı modeli ile iris tanıma sistemi. 2013 21st Signal Processing and Communications Applications Conference, SIU 2013.
dc.identifier.doi10.1109/SIU.2013.6531397
dc.identifier.isbn9781467355629
dc.identifier.scopus2-s2.0-84880899448
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/SIU.2013.6531397
dc.identifier.urihttps://hdl.handle.net/11468/23521
dc.indekslendigikaynakScopus
dc.language.isotren_US
dc.relation.ispartof2013 21st Signal Processing and Communications Applications Conference, SIU 2013
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClassificationen_US
dc.subjectImage processingen_US
dc.subjectIris recognitionen_US
dc.subjectK-Nn classifieren_US
dc.subjectLaws temen_US
dc.titleLaws doku enerji ölçümü tabanlı k-NN sınıflandırıcı modeli ile iris tanıma sistemien_US
dc.titleLaws doku enerji ölçümü tabanlı k-NN sınıflandırıcı modeli ile iris tanıma sistemi
dc.title.alternativeAn iris recognition system by laws texture energy measure based k-NN classifieren_US
dc.title.alternativeAn iris recognition system by laws texture energy measure based k-NN classifier
dc.typeConference Objecten_US

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