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@InProceedings{MorimotoSantMuni:2005:AuIrSe,
               author = "Morimoto, Carlos Hitoshi and Santos, Thiago Teixeira and Muniz, 
                         Adriano Saturno",
          affiliation = "{Department of Computer Science of the Institute of Mathmatics and 
                         Statistics of the University of S{\~a}o Paulo}",
                title = "Automatic iris segmentation using active near infra red lighting",
            booktitle = "Proceedings...",
                 year = "2005",
               editor = "Rodrigues, Maria Andr{\'e}ia Formico and Frery, Alejandro 
                         C{\'e}sar",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 18. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "iris segmentation, biometrics, pupil detection, near infra red 
                         lighting.",
             abstract = "This paper introduces a fast, robust and accurate iris 
                         segmentation technique based on active lighting. The geometry of 
                         the light sources, a single camera and the eye facilitates the 
                         detection of the pupil and the automatic selection of the most 
                         appropriate image for biometric identification from the video 
                         stream, minimizing the effects of noise, distortion and occlusion 
                         during the image acquisition process. Two near infrared (NIR) 
                         light sources (that are invisible to the human eye) are 
                         synchronized with the video signal. One of the light sources is 
                         placed near the optical axis of the camera, and generates a bright 
                         pupil image. The second light is placed off-axis, generating dark 
                         pupil images. These two images can be easily combined to segment 
                         the pupil region, and the corneal reflection of the light sources 
                         can be used to select best quality images. The pupil position is 
                         then used to segment the iris and eyelids using a coarse-to-fine 
                         strategy. Experimental results with a real-time prototype show the 
                         quality of the iris segmentation.",
  conference-location = "Natal",
      conference-year = "9-12 Oct. 2005",
             language = "en",
           targetfile = "morimotoc_iris.pdf",
        urlaccessdate = "2020, Dec. 03"
}


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