CONF Chakka_IJCB2011_2011/IDIAP Competition on Counter Measures to 2-D Facial Spoofing Attacks Chakka, Murali Mohan Anjos, André Marcel, Sébastien Tronci, Roberto Muntoni, Daniele Fadda, Gianluca Pili, Maurizio Sirena, Nicola Murgia, Gabriele Ristori, Marco Roli, Fabio Yan, Junjie Yi, Dong Lei, Zhen Zhang, Zhiwei Z.Li, Stan Schwartz, William Robson Rocha, Anderson Pedrini, Helio Lorenzo-Navarro, Javier Castrillón-Santana, Modesto Maatta, Jukka Hadid, Abdenour Pietikainen, Matti 2-D Face Anti-spoofing Competition Counter-Measures Face Recognition Replay Attacks Spoofing Attacks EXTERNAL http://publications.idiap.ch/attachments/papers/2011/Chakka_IJCB2011_2011.pdf PUBLIC Proceedings of IAPR IEEE International Joint Conference on Biometrics (IJCB), Washington DC, USA 2011 Spoofing identities using photographs is one of the most common techniques to attack 2-D face recognition systems. There seems to exist no comparative studies of different techniques using the same protocols and data. The motivation behind this competition is to compare the performance of different state-of-the-art algorithms on the same database using a unique evaluation method. Six different teams from universities around the world have participated in the contest. Use of one or multiple techniques from motion, texture analysis and liveness detection appears to be the common trend in this competition. Most of the algorithms are able to clearly separate spoof attempts from real accesses. The results suggest the investigation of more complex attacks.