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 
                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 = "Oct. 29 - Nov. 1, 2018",
             language = "en",
                  ibi = "8JMKD3MGPAW/3S44J3S",
                  url = "",
           targetfile = "sibgrapi_correcoes (7).pdf",
        urlaccessdate = "2020, Nov. 29"