由 Y Liu 著作 · 2018 · 被引用 618 次 — spoof faces. Further, we introduce a new face anti-spoofing database that covers a large range of illumination, subject, and pose variations.
由 E Solomon 著作 · 2023 · 被引用 7 次 — This work introduces a novel face anti-spoofing system, FASS, that fuses results of two classifiers. One, random forest, uses the identified by us seven no- ...
由 TZC TSENG 著作 · 2021 · 被引用 1 次 — Our proposed method is capable of authenticating the input image is from real user or spoofing attack, including paper photograph, digital photograph, ...
由 Y Atoum 著作 · 2017 · 被引用 455 次 — In this paper, we propose a novel two-stream CNN-based approach for face anti-spoofing, by extracting the local features and holistic depth maps from the face ...
2023年6月5日 — Face anti-spoofing aims at effectively discerning genuine and fraudulent faces, making biometric systems more secure and reliable. It is a ...
由 H Fang 著作 · 2023 · 被引用 10 次 — Abstract—Face Anti-spoofing (FAS) is essential to secure face recognition systems from various physical attacks. However,.
Face Anti-spoofing, Face Presentation Attack Detection ... Biometrics utilize physiological, such as fingerprint, face, and iris, or behavioral characteristics, ...