Iris detection and recognition by image segmentation using K-Means algorithm and artificial neural network
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Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Segmentation 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.
Açıklama
Anahtar Kelimeler
Biometry, Iris Recognition, Segmentation, K-Means Neural Network Ontological Reasoning
Kaynak
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Alabdullah, 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.
