antispoofingface

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, ...

Face Anti-Spoofing (FAS) aims to detect malicious attempts to invade a face recognition system by presenting spoofed faces.

由 Y Atoum 著作 · 2017 · 被引用 453 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 ...

Face Anti-spoofing, Face Presentation Attack Detection ... Biometrics utilize physiological, such as fingerprint, face, and iris, or behavioral characteristics, ...

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 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,.

We present a comprehensive review of recent deep learning methods for face anti-spoofing (mostly from 2018 to 2022). It covers hybrid (handcrafted+deep), pure ...

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