Aurora Guard: Real-Time Face Anti-Spoofing via Light Reflection

02/27/2019
by   Yao Liu, et al.
0

In this paper, we propose a light reflection based face anti-spoofing method named Aurora Guard (AG), which is fast, simple yet effective that has already been deployed in real-world systems serving for millions of users. Specifically, our method first extracts the normal cues via light reflection analysis, and then uses an end-to-end trainable multi-task Convolutional Neural Network (CNN) to not only recover subjects' depth maps to assist liveness classification, but also provide the light CAPTCHA checking mechanism in the regression branch to further improve the system reliability. Moreover, we further collect a large-scale dataset containing 12,000 live and spoofing samples, which covers abundant imaging qualities and Presentation Attack Instruments (PAI). Extensive experiments on both public and our datasets demonstrate the superiority of our proposed method over the state of the arts.

READ FULL TEXT
research
02/01/2021

Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System

Face authentication on mobile end has been widely applied in various sce...
research
08/08/2022

Multi-Frames Temporal Abnormal Clues Learning Method for Face Anti-Spoofing

Face anti-spoofing researches are widely used in face recognition and ha...
research
02/25/2021

CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results

As facial interaction systems are prevalently deployed, security and rel...
research
11/29/2022

Generalized Face Anti-Spoofing via Multi-Task Learning and One-Side Meta Triplet Loss

With the increasing variations of face presentation attacks, model gener...
research
07/24/2020

CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations

As facial interaction systems are prevalently deployed, security and rel...
research
08/29/2023

Enhancing Mobile Face Anti-Spoofing: A Robust Framework for Diverse Attack Types under Screen Flash

Face anti-spoofing (FAS) is crucial for securing face recognition system...
research
12/18/2019

Attention-Based Face AntiSpoofing of RGB Images, using a Minimal End-2-End Neural Network

Face anti-spoofing aims at identifying the real face, as well as the fak...

Please sign up or login with your details

Forgot password? Click here to reset