@InProceedings{SilvaMeno:2015:AbDeLe,
               author = "Silva, Pedro Henrique and Menotti, David",
                title = "Uma abordagem para detec{\c{c}}{\~a}o de lentes de contato 
                         baseado em Deep Representations",
            booktitle = "Proceedings...",
                 year = "2015",
               editor = "Vieira, Thales Miranda de Almeida and Mello, Vinicius Moreira",
         organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "{\'{\I}}ris, Detec{\c{c}}{\~a}o de Lentes de Contato, 
                         Aprendizado em Profundidade, Redes Convolucionais.",
             abstract = "Spoofing detection is a challenging task in biometric systems, 
                         when differentiating illegitimate users from genuine ones. 
                         Although iris scans are far more inclusive than fingerprints, and 
                         also more precise for person authentication, iris recognition 
                         systems are vulnerable to spoofing via textured cosmetic contact 
                         lenses. Iris spoofing detection is also referred to as liveness 
                         detection (binary classification of fake and real images). In this 
                         work, we focus on a three-class detection problem: images with 
                         textured (colored) contact lenses, soft contact lenses, and no 
                         lenses. Our approach uses a convolutional network to build a deep 
                         image representation and an additional fully-connected single 
                         layer with softmax regression for classification. Experiments are 
                         conducted in comparison with a state-of-the-art approach (SOTA) on 
                         two public iris image databases for contact lens detection: 2013 
                         Notre Dame and IIIT-Delhi. The results show that our approach can 
                         achieve better results than SOTA on the former database and 
                         comparable results on the latter. Despite the proposed approach 
                         does not segment iris images, the results for the IIIT-Delhi base 
                         reaches values comparable to the SOTA, which segments the images. 
                         Taking this into account, we conclude that the results are 
                         promising.",
  conference-location = "Salvador, BA, Brazil",
      conference-year = "26-29 Aug. 2015",
             language = "pt",
                  ibi = "8JMKD3MGPBW34M/3JT649H",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JT649H",
           targetfile = "2015-SIBGRAPI-ContactLenses.pdf",
        urlaccessdate = "2024, May 05"
}