@InProceedings{CostaGonz:2009:ExSeDy,
               author = "Costa, Ronaldo Martins da and Gonzaga, Adilson",
          affiliation = "{School of Engineering at S{\~a}o Carlos - University of S{\~a}o 
                         Paulo (USP)} and {School of Engineering at S{\~a}o Carlos - 
                         University of S{\~a}o Paulo (USP)}",
                title = "Extraction and selection of dynamic features of the human iris",
            booktitle = "Proceedings...",
                 year = "2009",
               editor = "Nonato, Luis Gustavo and Scharcanski, Jacob",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 22. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Iris, Dynamic.",
             abstract = "The personal identification through iris texture analysis is a 
                         highly efficient biometric identification method. Some algorithms 
                         and techniques were developed, taking into consideration the 
                         texture features of the iris image in the human eye. Nonetheless, 
                         such features, due to the fact that they are static, they are also 
                         susceptible to fraud. That is, a picture can replace the iris in 
                         an analysis. For that reason, this paper proposes a method for 
                         extracting the texture features of the iris during the pupil 
                         contraction and dilation, in addition to the dynamic contraction 
                         and dilation features themselves. Therefore, it was developed a 
                         new image acquisition system through NIR (Near Infra-Red) 
                         illumination, considering the Consensual Reflex of the eyes. The 
                         features are measured according to a dynamic illumination standard 
                         controlled by the software and are afterwards selected by means of 
                         data mining. Then it is possible to increase the safety in the 
                         biometric recognition devices of people through their iris, for 
                         only living irises can be utilized. The results show a significant 
                         precision index in determining such features, despite being 
                         inferior to the ones obtained by means of static methodology.",
  conference-location = "Rio de Janeiro, RJ, Brazil",
      conference-year = "11-14 Oct. 2009",
                  doi = "10.1109/SIBGRAPI.2009.16",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2009.16",
             language = "en",
                  ibi = "8JMKD3MGPBW4/35TCL38",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW4/35TCL38",
           targetfile = "Artigo-Sibigrapi-2009-Final.pdf",
        urlaccessdate = "2024, Apr. 29"
}