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@InProceedings{HirataBarrTera:2000:TeSeAu,
               author = "Hirata, Nina S. T. and Barrera, Junior and Terada, Routo",
                title = "Text segmentation by automatically designed morphological 
                         operators",
                 year = "2000",
               editor = "Carvalho, Paulo Cezar Pinto and Walter, Marcelo",
                pages = "284--291",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 13. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Gramado, RS, Brazil, from October 17 to 
                         20.",
             keywords = "image segmentation, text segmentation, binary morphological 
                         operators, document image processing, character recognition 
                         system, image segmentation, heuristic filter, mathematical 
                         morphology.",
             abstract = "Identification of areas corresponding to text in document images 
                         is an important step for a character recognition system. We 
                         briefly review a technique for automatic design of binary 
                         morphological operators and show its application to the 
                         segmentation of text areas from document page images. We also 
                         present an heuristic filter used to refine the segmentation 
                         results. Results obtained for two different sets of images are 
                         shown.",
  conference-location = "Gramado, RS, Brazil",
      conference-year = "October",
         organisation = "SBC - Brazilian Computer Society",
           targetfile = "284-291.pdf",
        urlaccessdate = "2020, Nov. 29"
}


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