author = "Oliveira, Luiz E. Soares and Lethelier, Edouard and Bortolozzi, 
                         Fl{\'a}vio and Sabourin, Robert",
                title = "Handwritten digits segmentation based on structural approach",
                 year = "2000",
               editor = "Carvalho, Paulo Cezar Pinto and Walter, Marcelo",
                pages = "67--73",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 13. 
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Gramado, RS, Brazil, from October 17 to 
             keywords = "handwritten character recognition, handwritten digit segmentation, 
                         structural approach, segmentation-based recognition system, 
                         heuristic rules, graphs.",
             abstract = "We deal with a new segmentation approach applied to unconstrained 
                         handwritten digits. The novelty of the proposed algorithm is based 
                         on the combination of two types of structural features in order to 
                         provide the best segmentation path between connected entities. 
                         This method was developed to be applied in a segmentation-based 
                         recognition system. We first present the features used to generate 
                         our basic segmentation points, and we define our segmentation 
                         paths depending on the encountered configurations with only few 
                         heuristic rules. Then, we present a strategy based on graphs in 
                         order to manage the segmentation. Finally, we evaluate the output 
                         of our segmenter using a integrated classifier with three 
                         different combination methods.",
  conference-location = "Gramado, RS, Brazil",
      conference-year = "October",
         organisation = "SBC - Brazilian Computer Society",
           targetfile = "67-73.pdf",
        urlaccessdate = "2020, Nov. 26"