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Face Recognition Systems Under Spoofing Attacks

Chingovska, Ivana  
•
Erdogmus, Nesli
•
Anjos, André
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2016
Face Recognition Across the Imaging Spectrum

In this chapter, we give an overview of spoofing attacks and spoofing countermeasures for face recognition systems , with a focus on visual spectrum systems (VIS) in 2D and 3D, 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 recognition systems. The results on two different face spoofing databases in VIS and one newly developed face spoofing database in NIR show that spoofing attacks present a significant security risk for face recognition systems in any part of the spectrum. The risk is partially reduced when using multispectral systems. We also give a systematic overview of the existing anti-spoofing techniques, with an analysis of their advantages and limitations and prospective for future work.

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Type
book part or chapter
DOI
10.1007/978-3-319-28501-6_8
Author(s)
Chingovska, Ivana  
Erdogmus, Nesli
Anjos, André
Marcel, Sébastien
Date Issued

2016

Publisher

Springer International Publishing

Publisher place

Cham

Published in
Face Recognition Across the Imaging Spectrum
ISBN of the book

978-3-319-28499-6

Start page

165

End page

194

Written at

EPFL

EPFL units
LIDIAP  
Available on Infoscience
December 19, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/132078
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