Enhancing Mobile Face Anti-Spoofing: A Robust Framework for …
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- DOI 10.48550/arxiv.2308.15346
- OpenAlex ID W4386302900
- Type Preprint
- Language EN
- Published 29 Aug 2023
- Source arXiv (Cornell University)
- Publisher Cornell University
- Countries 1
- Institutions 1
- Added 31 Aug 2023
- Updated 11 Oct 2026
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Enhancing Mobile Face Anti-Spoofing: A Robust Framework for Diverse Attack Types under Screen Flash
Preprint 2023 EN Green
Face anti-spoofing (FAS) is crucial for securing face recognition systems. However, existing FAS methods with handcrafted binary or pixel-wise labels have limitations due to diverse presentation attacks (PAs). In this paper, we propose an attack type robust face anti-spoofing framework under light flash, called ATR-FAS. Due to imaging differences caused by various attack types, traditional FAS met…
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3 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Weihua Liu | Beijing Institute of Technolog… (CN) | |
| 2 | Chaochao Lin | Beijing Institute of Technolog… (CN) | |
| 3 | Yan Yu | Beijing Institute of Technolog… (CN) |
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