Iris detection and recognition by image segmentation using K-Means algorithm and artificial neural network

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dc.contributor.advisorIbrahim, Abdullahi Abdu
dc.contributor.authorAlabdullah, Firas Yaqoob Yousif
dc.date.accessioned2022-07-07T12:23:46Z
dc.date.available2022-07-07T12:23:46Z
dc.date.issued2021en_US
dc.date.submitted2021
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Bilişim Teknolojileri Ana Bilim Dalıen_US
dc.description.abstractSegmentation is one of the most time-consuming steps in the Iris recognition process. Using the powerful and fast k-means algorithm alongside Neural Networks, this algorithm manages to isolate the Iris within the image of the eye, not only with high precision, but also with a great reduction in time and computational load. Furthermore, this innovative scheme presents an ontology capable of deciding whether the extraction of characteristics after segmentation can be carried out. Thus enhancing the IRIS recognition and can be extended to include other Biometrics.en_US
dc.identifier.citationAlabdullah, Firas Yaqoob Yousif. (2021). Iris detection and recognition by image segmentation using K-Means algorithm and artificial neural network. (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/2640
dc.identifier.yoktezid676388
dc.institutionauthorAlabdullah, Firas Yaqoob Yousif
dc.language.isoen
dc.publisherAltınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsüen_US
dc.relation.publicationcategoryTezen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBiometryen_US
dc.subjectIris Recognitionen_US
dc.subjectSegmentationen_US
dc.subjectK-Means Neural Network Ontological Reasoningen_US
dc.titleIris detection and recognition by image segmentation using K-Means algorithm and artificial neural network
dc.typeMaster Thesis

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