Face Anti-spoofing: Visual Approach

By André Anjos, Jukka Komulainen, Sébastien Marcel, Abdenour Hadid, Matti Pietikäinen. 2014

29 citations recorded by the source corpus.

User authentication is an important step to protect information and in this regard face biometrics is advantageous. Face biometrics is natural, easy to use and less human-invasive. Unfortunately, recent work revealed that face biometrics is quite vulnerable to spoofing attacks. This chapter presents the different modalities of attacks to visual spectrum face recognition systems. We introduce public datasets for the evaluation of vulnerability of recognition systems and performance of countermeasures. Finally, we build a comprehensive view of antispoofing techniques for visual spectrum face recognition and provides an outlook of issues that remain unaddressed.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

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Citations in the corpus

Robust multimodal face and fingerprint fusion in the presence of spoofing attacks (2016, background): “Consequently, there are numerous studies [1,2] and open challenges [3,4] on anti-spoofing techniques assessing the spoofing detector's ability to distinguish between genuine and fake attempts for especially these two traits.”
OULU-NPU: A Mobile Face Presentation Attack Database with Real-World Variations (2017, background): “The vulnerabilities of face-based biometric systems to spoofing have been now recognized and face presentation attack detection (PAD) has finally received significant attention in the research community [1], [3], [7].”