Authors
Ivana Chingovska, Nesli Erdogmus, André Anjos, Sébastien Marcel
Publication date
2016
Journal
Face Recognition Across the Imaging Spectrum
Pages
165-194
Publisher
Springer International Publishing
Description
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.
Total citations
20162017201820192020202120222023202439917151723138
Scholar articles
I Chingovska, N Erdogmus, A Anjos, S Marcel - Face Recognition Across the Imaging Spectrum, 2016