Asymmetric Modality Translation For Face Presentation Attack Detection

10/18/2021
by   Zhi Li, et al.
9

Face presentation attack detection (PAD) is an essential measure to protect face recognition systems from being spoofed by malicious users and has attracted great attention from both academia and industry. Although most of the existing methods can achieve desired performance to some extent, the generalization issue of face presentation attack detection under cross-domain settings (e.g., the setting of unseen attacks and varying illumination) remains to be solved. In this paper, we propose a novel framework based on asymmetric modality translation for face presentation attack detection in bi-modality scenarios. Under the framework, we establish connections between two modality images of genuine faces. Specifically, a novel modality fusion scheme is presented that the image of one modality is translated to the other one through an asymmetric modality translator, then fused with its corresponding paired image. The fusion result is fed as the input to a discriminator for inference. The training of the translator is supervised by an asymmetric modality translation loss. Besides, an illumination normalization module based on Pattern of Local Gravitational Force (PLGF) representation is used to reduce the impact of illumination variation. We conduct extensive experiments on three public datasets, which validate that our method is effective in detecting various types of attacks and achieves state-of-the-art performance under different evaluation protocols.

READ FULL TEXT

page 1

page 3

page 5

page 8

page 11

page 12

research
11/14/2022

Attacking Face Recognition with T-shirts: Database, Vulnerability Assessment and Detection

Face recognition systems are widely deployed for biometric authenticatio...
research
07/09/2019

Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection

Face recognition has evolved as a prominent biometric authentication mod...
research
04/04/2020

Cross-domain Face Presentation Attack Detection via Multi-domain Disentangled Representation Learning

Face presentation attack detection (PAD) has been an urgent problem to b...
research
06/11/2020

On Improving Temporal Consistency for Online Face Liveness Detection

In this paper, we focus on improving the online face liveness detection ...
research
10/27/2022

Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting

The vulnerability of face recognition systems to morphing attacks has po...
research
10/25/2020

Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings

Presentation attacks are posing major challenges to most of the biometri...
research
08/27/2018

Discriminative Representation Combinations for Accurate Face Spoofing Detection

Three discriminative representations for face presentation attack detect...

Please sign up or login with your details

Forgot password? Click here to reset