Chapter

Handbook of Biometric Anti-Spoofing

Part of the series Advances in Computer Vision and Pattern Recognition pp 65-82

Date:

Face Anti-spoofing: Visual Approach

  • André AnjosAffiliated withIdiap Research Institute Email author 
  • , Jukka KomulainenAffiliated withCenter for Machine Vision Research (CMV), Department of Computer Science and Engineering (CSE), University of Oulu
  • , Sébastien MarcelAffiliated withIdiap Research Institute
  • , Abdenour HadidAffiliated withCenter for Machine Vision Research (CMV), Department of Computer Science and Engineering (CSE), University of Oulu
  • , Matti PietikäinenAffiliated withCenter for Machine Vision Research (CMV), Department of Computer Science and Engineering (CSE), University of Oulu

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Abstract

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.