author = "Alves, Wonder Alexandre Luz and Hashimoto, Ronaldo Fumio",
          affiliation = "{Institute of Mathematics and Statistics - University of S{\~a}o 
                         Paulo} and {Institute of Mathematics and Statistics - University 
                         of S{\~a}o Paulo}",
                title = "Text Regions Extracted from Scene Images by Ultimate Attribute 
                         Opening and Decision Tree Classification",
            booktitle = "Proceedings...",
                 year = "2010",
               editor = "Bellon, Olga and Esperan{\c{c}}a, Claudio",
         organization = "Conference on Graphics, Patterns and Images, 23. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "scene-text localization, connected component approach, text 
                         information extraction, residual operator.",
             abstract = "In this work we propose a method for localizing text regions 
                         within scene images consisting of two major stages. In the first 
                         stage, a set of potential text regions is extracted from the input 
                         image using residual operators (such as ultimate attribute opening 
                         and closing). In the second stage a set of features is obtained 
                         from each potential text region and this feature set will be later 
                         used as an input to a decision tree classifier in order to label 
                         these regions as text or non-text regions. Experiments performed 
                         using images from ICDAR public dataset show that this method is a 
                         good alternative for problems involving text location in scene 
  conference-location = "Gramado",
      conference-year = "Aug. 30 - Sep. 3, 2010",
             language = "en",
           targetfile = "paper_final.pdf",
        urlaccessdate = "2020, Nov. 24"