Welcome to the IJCB 2017 competition on generalized face presentation attack detection in mobile authentication scenarios

It has been a while since the successful first and second competitions on counter measures to 2D facial spoofing attacks were organized. So it is time to evaluate the state of the art in face presentation attack detection (PAD) and to drive the research community to come up with novel ideas to tackle the problem of spoofing. The focus of this competition is on assessing the generalization abilities of different face PAD approaches in mobile authentication scenarios across different mobile devices, illumination conditions and presentation attack instruments (PAI). The competition will be a part of the International Joint Conference on Biometrics (IJCB 2017) that will be organized in Denver, Colorado, USA.


The vulnerabilities of face-based biometric systems to presentation attacks have been finally recognized but yet we lack generalized software-based face PAD methods performing robustly in practical mobile authentication scenarios. During the recent years, many face PAD methods have been proposed and astonishing results have been reported on the existing benchmark datasets (including the databases used in the previous competitions). Recent studies have shown, however, that most of these methods are not able to generalize well in more realistic application scenarios, thus face PAD is still an unsolved problem in unconstrained and unsupervised operating conditions. The aim of this competition is to compare and evaluate the generalization abilities of face PAD methods under some real-world variations, including acquisition device, PAI, and illumination.


  • Zinelabidine Boulkenafet, University of Oulu, Finland, Email: zboulken(at)ee.oulu.fi
  • Jukka Komulainen, University of Oulu, Finland, Email: jukmaatt(at)ee.oulu.fi
  • Zahid Akhtar, INRS-EMT, University of Quebec, Canada, Email: zahid.eltc(at)gmail.com
  • Abdenour Hadid, University of Oulu, Finland, Email: hadid(at)ee.oulu.fi