• DocumentCode
    1639937
  • Title

    ICDAR 2009 Page Segmentation Competition

  • Author

    Antonacopoulos, A. ; Pletschacher, S. ; Bridson, D. ; Papadopoulos, C.

  • Author_Institution
    Pattern Recognition & Image Anal. (PRImA) Res. Lab., Univ. of Salford, Manchester, UK
  • fYear
    2009
  • Firstpage
    1370
  • Lastpage
    1374
  • Abstract
    This paper presents an objective comparative evaluation of layout analysis methods in realistic circumstances. It describes the Page Segmentation competition (modus operandi, dataset and evaluation methodology) held in the context of ICDAR2009 and presents the results of the evaluation of four submitted methods. Two state-of-the art methods are also compared as well as the three methods from the ICDA2007 Page Segmentation competition. The results indicate that although methods continue to mature, there is still a considerable need to develop robust methods that deal with everyday documents.
  • Keywords
    document image processing; image segmentation; ICDAR 2009 page segmentation competition; Page Segmentation competition; layout analysis methods; modus operandi; Art; Image analysis; Image enhancement; Image recognition; Image segmentation; Pattern analysis; Pattern recognition; Pixel; Robustness; Text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1520-5363
  • Print_ISBN
    978-1-4244-4500-4
  • Electronic_ISBN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2009.275
  • Filename
    5277763