Chakka, Murali MohanAnjos, AndréMarcel, SébastienTronci, RobertoMuntoni, DanieleFadda, GianlucaPili, MaurizioSirena, NicolaMurgia, GabrieleRistori, MarcoRoli, FabioYan, JunjieYi, DongLei, ZhenZhang, ZhiweiZ.Li, StanSchwartz, William RobsonRocha, AndersonPedrini, HelioLorenzo-Navarro, JavierCastrillón-Santana, ModestoMaatta, JukkaHadid, AbdenourPietikainen, Matti2013-12-192013-12-192013-12-19201110.1109/IJCB.2011.6117509https://infoscience.epfl.ch/handle/20.500.14299/98109Spoofing 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.2-D FaceAnti-spoofingCompetitionCounter-MeasuresFace RecognitionReplay AttacksSpoofing Attackstext::conference output::conference paper not in proceedings