@InProceedings{PintoPedrSchwRoch:2012:ViFaSp,
author = "Pinto, Allan da Silva and Pedrini, Helio and Schwartz, William
Robson and Rocha, Anderson",
affiliation = "{University of Campinas } and {University of Campinas } and
{Universidade Federal de Minas Gerais } and {University of
Campinas}",
title = "Video-Based Face Spoofing Detection through Visual Rhythm
Analysis",
booktitle = "Proceedings...",
year = "2012",
editor = "Freitas, Carla Maria Dal Sasso and Sarkar, Sudeep and Scopigno,
Roberto and Silva, Luciano",
organization = "Conference on Graphics, Patterns and Images, 25. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Biometrics, Video-based Face Spoofing, Visual Rhythm, Gray-Level
Co-occurrence Matrix.",
abstract = "Recent advances on biometrics, information forensics, and security
have improved the accuracy of biometric systems, mainly those
based on facial information. However, an ever-growing challenge is
the vulnerability of such systems to impostor attacks, in which
users without access privileges try to authenticate themselves as
valid users. In this work, we present a solution to video-based
face spoofing to biometric systems. Such type of attack is
characterized by presenting a video of a real user to the
biometric system. To the best of our knowledge, this is the first
attempt of dealing with video-based face spoofing based in the
analysis of global information that is invariant to video content.
Our approach takes advantage of noise signatures generated by the
recaptured video to distinguish between fake and valid access. To
capture the noise and obtain a compact representation, we use the
Fourier spectrum followed by the computation of the visual rhythm
and extraction of the gray-level co-occurrence matrices, used as
feature descriptors. Results show the effectiveness of the
proposed approach to distinguish between valid and fake users for
video-based spoofing with near-perfect classification results.",
conference-location = "Ouro Preto, MG, Brazil",
conference-year = "22-25 Aug. 2012",
doi = "10.1109/SIBGRAPI.2012.38",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2012.38",
language = "en",
ibi = "8JMKD3MGPBW34M/3C9KN6H",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3C9KN6H",
targetfile = "paper_camera_ready.pdf",
urlaccessdate = "2024, May 02"
}