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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Autori principali:	Shakeel Muhammad Ibrahim, Muhammad Sohail Ibrahim, Shujaat Khan, Young-Woong Ko, Jeong-Gun Lee
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2025-01-01
Serie:	IEEE Access
Soggetti:	Deep learning anti-spoofing face liveness detection deformable convolution presentation attack detection
Accesso online:	https://ieeexplore.ieee.org/document/10883975/
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