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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Detalhes bibliográficos

Principais autores:	Tayyaba Riaz, Adeel Anjum, Madiha Haider Syed, Semeen Rehman
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-03-01
coleção:	Sensors
Assuntos:	sparse learning data augmentation one-class domain adaptation adversarial training knowledge distillation decision-making accuracy
Acesso em linha:	https://www.mdpi.com/1424-8220/25/7/2166
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