Tabarak Zaki Karaji received her master's degree from the Department of Computer Sciences / University of Technology for her thesis (Secure Protocol for Iris Identification ), where identification of the vital identity is one of the safest processes in many security applications. Which have been improved to verify identity because of their great importance in the protection of personnel systems, society and public security because they have an important role in verification and identification to contribute to a safe and comfortable environment. The aim of the work is to use the system of authentication by the system of identification of the iris in addition to reducing or preventing attacks on the system. The proposed workflow begins by detecting the noise zone and dividing the image of the iris using image processing rather than using classical methods to more precisely identify and normalize the image of the iris extracted to a fixed size. The irradiation features were extracted from the PCA, which is the most well-known and most effective technique, using euclidean distance in the matching phase to measure distance between features. In the proposed iris identification system, we use the MMU data set and the total CASIA-Iris-Syn data, where the recognition accuracy is 97.82% for MMU and 90% for CASIA-Iris-Syn. It was on Sunday, 2/12/2018, and on the discussion room in the building of the department. The discussion committee was composed of Prof. Dr. Abdel Moneim Saleh Rahma and Dr. Yusra Hussein Ali from the University of Technology / Computer Sciences Department, Dr. Jain Jalil Asteifan from the University of Information Technology and Communications in the presence of the student supervisor (Dr. Shaima Hamid Shaker).

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