Archive for May 2nd, 2023
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A master’s thesis was discussed at the faculty of Computer Science and Information Technology, on finding effective techniques for facial recognition using images.
Athman Dhiaa Abdulsttar presented her thesis on finding effective techniques for facial recognition using images. The thesis aims to identify facial features, which are considered fundamental and important step in […]