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Face Recognition Systems Under Spoofing Attacks

Chingovska, Ivana  
•
Erdogmus, Nesli
•
Anjos, André
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2020

In this chapter we give an overview of spoofing attacks and spoofing counter-measures for face recognition systems, in particular in a verification sce- nario. We focus on 2D and 3D attacks to Visible Spectrum systems (VIS), as well as Near Infrared (NIR) and multispectral systems. We cover the existing types of spoofing attacks and report on their success to bypass several state-of-the-art face verification systems. The results on two different face spoofing databases with VIS attacks and one newly developed face spoofing database with VIS and NIR attacks, show that spoofing attacks present a significant security threat for face verification systems in any part of the spectrum. The risk is partially reduced when using mul- tispectral systems. We also give a systematic overview of the existing anti-spoofing techniques, with an analysis of their advantages and limitations and prospectives for future work.

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Type
report
Author(s)
Chingovska, Ivana  
Erdogmus, Nesli
Anjos, André
Marcel, Sébastien  
Date Issued

2020

Publisher

Idiap

Note

Submitted for as a book-chapter for: Face Recognition Across the Electromagnetic Spectrum (Springer)

URL

Link to IDIAP database

http://publications.idiap.ch/downloads/reports/2015/Chingovska_Idiap-RR-18-2020.pdf
Written at

EPFL

EPFL units
LIDIAP  
Available on Infoscience
April 13, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/177260
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