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Monday, 11 November 2024 00:05

A master's thesis in the Computer Science Department discusses face spoofing detection based on multi-level features with deep learning

- The Computer Science Department discussed the master’s thesis titled: Face Spoofing Detection Based on Multilevel Features with Deep Learning by the student (Shaimaa Sabah Hamad), a general computer science major, on Thursday, October 10, 2024, in the late Dr. Imad Kadhom Hall in the Computer Science Department building. The thesis aimed to design a high-performance face spoofing detection system to distinguish between real and fake faces using machine learning techniques for feature extraction alongside deep learning techniques. The system demonstrated high efficiency. The examination committee consisted of Prof. Dr. Abdulameer Abdullah Kareem as Chair, and members Assoc. Prof. Dr. Enas Mohammed Hussein, Assoc. Prof. Dr. Iyad Hazem Ibrahim, Assoc. Prof. Dr. Nuha Jameel Ibrahim as a member and supervisor, and Assist. Prof. Dr. Mohammed Natiq Fadel as a member and supervisor.

 

Source: Department's Media

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