@InProceedings{BresanRezeBeluCarv:2018:PrAtDe,
author = "Bresan, Rodrigo and Rezende, Edmar and Beluzo, Carlos and
Carvalho, Tiago",
affiliation = "{Federal Institute of Sao Paulo (IFSP)} and {University of
Campinas (UNICAMP)} and {Federal Institute of Sao Paulo (IFSP)}
and Federal Institute of Sao Paulo (IFSP), University of Campinas
(UNICAMP)",
title = "Presentation Attack Detection by a Combination of Intrinsic Image
Properties and a CNN",
booktitle = "Proceedings...",
year = "2018",
editor = "Ross, Arun and Gastal, Eduardo S. L. and Jorge, Joaquim A. and
Queiroz, Ricardo L. de and Minetto, Rodrigo and Sarkar, Sudeep and
Papa, Jo{\~a}o Paulo and Oliveira, Manuel M. and Arbel{\'a}ez,
Pablo and Mery, Domingo and Oliveira, Maria Cristina Ferreira de
and Spina, Thiago Vallin and Mendes, Caroline Mazetto and Costa,
Henrique S{\'e}rgio Gutierrez and Mejail, Marta Estela and Geus,
Klaus de and Scheer, Sergio",
organization = "Conference on Graphics, Patterns and Images, 31. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "biometrics, presentation attack detection, PAD, intrinsic
properties, anti-spoofing, facial recognition.",
abstract = "The usage of face recognition for biometric systems has become
widely adopted, since it allows the usage of a trait that is
accessible to most of the people. Despite important progress on
the field of face recognition, there is still a lack of works
whose focus consists on the detection of presentation attacks.
Presentation attacks occur when an imposter presents a synthetic
sample in order to impersonate a valid user. For face biometric
systems, this kind of attack is performed using a photograph, by
playing a video of the user (commonly known as replay attack) or
by making usage of 3D masks. Hereby, we propose a low-cost
solution to detect these kind of attacks without the need of extra
hardware. Our hypothesis is based on the fact that, through the
extraction of intrinsic image properties, such as depth, saliency
and illumination, it is possible to distinguish between a real
biometric sample and a synthetic one. Performed experiments show
that the proposed method achieved HTER values of 41.64% and 3.88%
in inter and intra protocols respectively, achieving near
state-of-the-art results.",
conference-location = "Foz do Igua{\c{c}}u, PR, Brazil",
conference-year = "29 Oct.-1 Nov. 2018",
language = "en",
ibi = "8JMKD3MGPAW/3S44J3S",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3S44J3S",
targetfile = "sibgrapi_correcoes (7).pdf",
urlaccessdate = "2024, Apr. 27"
}