@InProceedings{SilvaSancConc:2009:AuDiPr,
               author = "Silva, Lincoln Faria da and Sanchez, Angel and Conci, Aura",
          affiliation = "UFF and {Universidad Rey Juan Carlos} and UFF",
                title = "Automatic discrimination between printed and handwritten text in 
                         documents",
            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 = "Data Mining, document analysis, text identification, optical 
                         characters recognition, Machine Vision.",
             abstract = "Recognition techniques for printed and handwritten text in scanned 
                         documents are significantly different. In this paper we address 
                         the problem of identifying each type. We can list at least four 
                         steps: digitalization, preprocessing, feature extraction and 
                         decision or classification. A new aspect of our approach is the 
                         use of data mining techniques on the decision step. A new set of 
                         features extracted of each word is proposed as well. 
                         Classification rules are mining and used to discern printed text 
                         from handwritten. The proposed system was tested in two public 
                         image databases. All possible measures of efficiency were computed 
                         achieving on every occasion quantities above 80%.",
  conference-location = "Rio de Janeiro, RJ, Brazil",
      conference-year = "11-14 Oct. 2009",
                  doi = "10.1109/SIBGRAPI.2009.40",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2009.40",
             language = "en",
                  ibi = "8JMKD3MGPBW4/35S5ML2",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW4/35S5ML2",
           targetfile = "57993.pdf",
        urlaccessdate = "2024, May 04"
}