The student (Sura Rahim Eidan) obtained her master's degree from the Department of Computer Sciences / University of Technology for her thesis (Face Recognition Technology To Monitor Class Attendance). In this study, biometrics literature was presented in general and its characteristics, applications, Work in general, and compare the different types of measurements, because the facial recognition system, is one of these types of measurements. In addition to identifying the structure of the system, the methods used in each step starting from the detection stage, draw characteristics down to the recognition process, the challenges faced by each stage and common techniques. Building an automated attendance management system by identifying and identifying people based on the face recognition technique, this system has advantages that surpass traditional systems and some automated systems based on other biometrics in attendance management. More than one person can be detected Identify it at the same time and record attendance, and report it.

The discussion was on Wednesday, 16/5/2018, at the discussion hall in the annex building of the department. The discussion committee was composed of Dr. Abdul Amir Abdullah Karim, (Computer Science) and Dr. Sawsan Abdel Hadi Mahmoud of Al Mustansiriya University / Faculty of Education / Computer Science Department in the presence of the student supervisor (Dr. Rehab Fleih Hassan).

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