Improving Presentation Attack Detection Classification Accuracy: Novel Approaches Incorporating Facial Expressions, Backdrops, and Data Augmentation

In the evolving landscape of biometric authentication, the integrity of face recognition systems against sophisticated presentation attacks (PAD) is paramount. This study set out to elevate the detection capabilities of PAD systems by ingeniously integrating a teacher–student learning framework with...

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Autori principali:	Tayyaba Riaz, Adeel Anjum, Madiha Haider Syed, Semeen Rehman
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-03-01
Serie:	Sensors
Soggetti:	sparse learning data augmentation one-class domain adaptation adversarial training knowledge distillation decision-making accuracy
Accesso online:	https://www.mdpi.com/1424-8220/25/7/2166
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