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 [BibTeX] [Marc21]
Face Recognition Systems Under Spoofing Attacks
Type of publication: Book chapter
Citation: Chingovska_SPRINGER_2016
Booktitle: Face Recognition Systems Under Spoofing Attacks
Edition: 1st
Chapter: 8
Year: 2016
Month: February
Pages: 165-194
Publisher: Springer International Publishing
ISBN: 978-3-319-28501-6
Crossref: Chingovska_Idiap-RR-18-2020:
URL: http://link.springer.com/chapt...
DOI: 10.1007/978-3-319-28501-6_8
Abstract: 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.
Authors Chingovska, Ivana
Erdogmus, Nesli
Anjos, André
Marcel, Sébastien
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Total mark: 0