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    Iris detection and recognition by image segmentation using K-means algorithm and artificial neural network
    (Institute of Electrical and Electronics Engineers Inc., 2020) Alabdullah, Firas Yaqoob Yousif; Ibrahim, Abdullahi Abdu
    Segmentation is one of the most complex and time reliant 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 our scheme is 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 © 2020 IEEE.
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    Öğe
    Iris detection and recognition by image segmentation using K-Means algorithm and artificial neural network
    (Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü, 2021) Alabdullah, Firas Yaqoob Yousif; Ibrahim, Abdullahi Abdu
    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.