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    Face Recognition Systems: An Anti-spoofing and Liveliness Verification Toolkit

    Abstract: The safety of facial recognition technology is vital in the current digital era. In this research, a deep learning approach to face spoofing detection is presented, covering the complete process from data collection to real-time application. To guarantee model robustness, a 7,000-image bespoke dataset that includes both “real” and “fake” facial scenarios is curated. The YOLO architecture, a state-of-the-art object identification model, is used after necessary preprocessing. The model, which …

    Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 2, 2023 · pp. 36–4`1 Read article

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