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. |
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TABULA RASA |
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| Added by: | [UNK] |
| Total mark: | 0 |
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