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Improving Face Presentation Attack Detection Through Deformable Convolution and Transfer Learning

Face presentation attack detection (PAD) is essential for ensuring the security and reliability of face recognition systems by preventing unauthorized access through spoofing attempts. Attackers can exploit various methods, such as printed photos, video replays, paper masks, 3D masks, or makeup, to...

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Principais autores: Shakeel Muhammad Ibrahim, Muhammad Sohail Ibrahim, Shujaat Khan, Young-Woong Ko, Jeong-Gun Lee
Formato: Artigo
Idioma:Inglês
Publicado: IEEE 2025-01-01
Series:IEEE Access
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Acceso en liña:https://ieeexplore.ieee.org/document/10883975/
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