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 [BibTeX] [Marc21]
Competition on Counter Measures to 2-D Facial Spoofing Attacks
Type of publication: Conference paper
Citation: Chakka_IJCB2011_2011
Publication status: Accepted
Booktitle: Proceedings of IAPR IEEE International Joint Conference on Biometrics (IJCB), Washington DC, USA
Year: 2011
Month: October
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.
Keywords: 2-D Face, Anti-spoofing, Competition, Counter-Measures, Face Recognition, Replay Attacks, Spoofing Attacks
Projects Idiap
Authors 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
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Total mark: 0
  • Chakka_IJCB2011_2011.pdf