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         author = {Chakka, Murali Mohan and Anjos, Andr{\'{e}} and Marcel, S{\'{e}}bastien and Tronci, Roberto and Muntoni, Daniele and Fadda, Gianluca and Pili, Maurizio and Sirena, Nicola and Murgia, Gabriele and Ristori, Marco and Roli, Fabio and Yan, Junjie and Yi, Dong and Lei, Zhen and Zhang, Zhiwei and Z.Li, Stan and Schwartz, William Robson and Rocha, Anderson and Pedrini, Helio and Lorenzo-Navarro, Javier and Castrill{\'{o}}n-Santana, Modesto and Maatta, Jukka and Hadid, Abdenour and Pietikainen, Matti},
       keywords = {2-D Face, Anti-spoofing, Competition, Counter-Measures, Face Recognition, Replay Attacks, Spoofing Attacks},
       projects = {Idiap, TABULA RASA},
          month = oct,
          title = {Competition on Counter Measures to 2-D Facial Spoofing Attacks},
      booktitle = {Proceedings of IAPR IEEE International Joint Conference on Biometrics (IJCB), Washington DC, USA},
           year = {2011},
       abstract = {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.},
            pdf = {https://publications.idiap.ch/attachments/papers/2011/Chakka_IJCB2011_2011.pdf}