Alabdullah, Firas Yaqoob YousifIbrahim, Abdullahi Abdu2021-05-152021-05-1520209781728190907https://doi.org/10.1109/ISMSIT50672.2020.9255002https://hdl.handle.net/20.500.12939/10594th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 -- 22 October 2020 through 24 October 2020 -- -- 165025Segmentation 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.eninfo:eu-repo/semantics/closedAccessBiometryIris Recognitionk-MeansNeural NetworksOntological ReasoningSegmentationConference Object10.1109/ISMSIT50672.2020.92550022-s2.0-85097658383N/A