faceantispoofing

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

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,.

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 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.

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

由 曾子家 著作 · 2019 — 為了持續優化網站功能與使用者體驗，本網站將Cookies分析技術用於網站營運、分析和個人化服務之目的。

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 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- ...