arrow
Return

Face Demorphing

delete2018-04-01
delete84
PRE
AI
M
Matteo Ferrara *
A
Annalisa Franco
D
Davide Maltoni
DOI:10.1109/TIFS.2017.2777340delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
The morphing attack proved to be a serious threat for modern automated border control systems where face recognition is used to link the identity of a passenger to his/her e-document. In this paper, we show that by exploiting the live face image acquired at the gate, the morphed face image stored in the document can be reverted (or demorphed) enough to reveal the identity of the legitimate document owner, thus allowing the system to issue a warning. A number of practical experiments on two data sets proves the efficacy of our approach.
Keywords:
Automated border control
eMRTD
face demorphing
face morphing attack
face recognition
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Information Forensics and Security cover
IEEE Transactions on Information Forensics and Security
IF:
8
Papers:
5.2K
Citations:
2.3W

Organization

U
University of Bologna
Scholars:
4.5W
Papers: 3.8W
Citations: 4.1W