A closer look tells more: A facial distortion based liveness detection for face authentication

A closer look tells more: A facial distortion based liveness detection for face authentication

Face authentication is vulnerable to media-based virtual face forgery (MVFF) where adversaries display photos/videos or 3D virtual face models of victims to spoof face authentication systems. In this paper, we propose a liveness detection mechanism, called FaceCloseup, to protect the face authentica...

Full description

Saved in:
Bibliographic Details
Main Authors: LI, Yan, WANG, Zilong, LI, Yingjiu, DENG, Robert H., CHEN, Binbin, MENG, Weizhi, LI, Hui
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
Subjects:
Face authentication
Liveness detection
Perspective distortion
Information Security
Online Access:https://ink.library.smu.edu.sg/sis_research/4513
https://ink.library.smu.edu.sg/context/sis_research/article/5516/viewcontent/p241_li.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
Description
Summary:Face authentication is vulnerable to media-based virtual face forgery (MVFF) where adversaries display photos/videos or 3D virtual face models of victims to spoof face authentication systems. In this paper, we propose a liveness detection mechanism, called FaceCloseup, to protect the face authentication on mobile devices. FaceCloseup detects MVFF-based attacks by analyzing the distortion of face regions in a user's closeup facial videos captured by built-in camera on mobile device. It can detect MVFF-based attacks with an accuracy of 99.48%.

Similar Items