@InProceedings{EitererFacoMeno:2004:PoEnAd,
               author = "Eiterer, Luiz Felipe and Facon, Jacques and Menotti, David",
          affiliation = "{PUCPR-Pontif{\'{\i}}cia Universidade Cat{\'o}lica do 
                         Paran{\'a}} and Rua Imaculada Concei{\c{c}}{\~a}o 1155, Prado 
                         Velho and 80215-901 Curitiba-PR, Brazil",
                title = "Postal Envelope Address Block Location by Fractal-Based Approach",
            booktitle = "Proceedings...",
                 year = "2004",
               editor = "Ara{\'u}jo, Arnaldo de Albuquerque and Comba, Jo{\~a}o Luiz Dihl 
                         and Navazo, Isabel and Sousa, Ant{\^o}nio Augusto de",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 17. 
                         (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 
                         (SIACG)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "segmentation, address block, fractal, Kmeans.",
             abstract = "In this paper, we propose an approach based on fractal dimension 
                         to automatically locate address blocks in postal envelopes. First, 
                         the fractal dimension of each pixel of a postal envelope image is 
                         computed using the 2D variation procedure. The K-means clustering 
                         technique is then used to label pixels as background, noise and 
                         semantic objects like stamps, postmarks, and address blocks. A 
                         database composed of \$200\$ postal envelope images, with no 
                         fixed position for the address block, postmark and stamp is used 
                         to evaluate the efficiency of the proposed approach. For each 
                         envelope image, the ideal result (ground-truth segmentation) 
                         regarding each class has been generated. The comparison between 
                         the ground-truth segmentation and the results obtained through the 
                         proposed methodology is carried out pixel by pixel. Experiments 
                         showed significant and promising results. By using the 2D 
                         variation procedure for three ranges of neighbor window sizes (r= 
                         {3,5}, r= {3,5,7}, and r= {3,5,7,9}), the proposed approach 
                         reached a success rate over than 90% on average.",
  conference-location = "Curitiba, PR, Brazil",
      conference-year = "17-20 Oct. 2004",
                  doi = "10.1109/SIBGRA.2004.1352948",
                  url = "http://dx.doi.org/10.1109/SIBGRA.2004.1352948",
             language = "en",
                  ibi = "6qtX3pFwXQZeBBx/D8Q6Q",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/D8Q6Q",
           targetfile = "4388_Facon_J.pdf",
        urlaccessdate = "2024, May 02"
}