• DocumentCode
    3019312
  • Title

    ICDAR2005 page segmentation competition

  • Author

    Antonacopoulos, A. ; Gatos, B. ; Bridson, D.

  • Author_Institution
    Pattern Recognition & Image Analysis Res. Lab., Salford Univ., UK
  • fYear
    2005
  • fDate
    29 Aug.-1 Sept. 2005
  • Firstpage
    75
  • Abstract
    There is an established need for objective evaluation of layout analysis methods, in realistic circumstances. This paper describes the page segmentation competition (modus operandi, dataset and evaluation criteria) held in the context of ICDAR2005 and presents the results of the evaluation of four candidate methods. The main objective of the competition was to compare the performance of such methods using scanned documents from commonly-occurring publications. The results indicate that although methods seem to be maturing, there is still a considerable need to develop robust methods that deal with everyday documents.
  • Keywords
    document image processing; image segmentation; ICDAR2005 page segmentation competition; candidate method; layout analysis method; robust method; Computational intelligence; Image analysis; Image segmentation; Informatics; Laboratories; Optical character recognition software; Pattern recognition; Performance analysis; Telecommunication computing; Text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
  • ISSN
    1520-5263
  • Print_ISBN
    0-7695-2420-6
  • Type

    conf

  • DOI
    10.1109/ICDAR.2005.184
  • Filename
    1575513