Can face anti-spoofing countermeasures work in a real world scenario?
| Type of publication: | Conference paper |
| Citation: | deFreitasPereira_ICB_2013 |
| Publication status: | Accepted |
| Booktitle: | International Conference on Biometrics |
| Year: | 2013 |
| Month: | June |
| Location: | Madrid, Spain |
| URL: | http://pypi.python.org/pypi/an... |
| Abstract: | User authentication is an important step to protect in- formation and in this field face biometrics is advantageous. Face biometrics is natural, easy to use and less human-invasive. Unfortunately, recent work has revealed that face biometrics is vulnerable to spoofing attacks using low-tech equipments. This article assesses how well existing face anti-spoofing countermeasures can work in a more realistic condition. Experiments carried out with two freely available video databases (Replay Attack Database and CASIA Face Anti-Spoofing Database) show low generalization and possible database bias in the evaluated countermeasures. To generalize and deal with the diversity of attacks in a real world scenario we introduce two strategies that show promising results. |
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BEAT TABULA RASA |
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| Added by: | [UNK] |
| Total mark: | 0 |
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