• DocumentCode
    1640392
  • Title

    ICDAR 2009 Handwriting Segmentation Contest

  • Author

    Gatos, B. ; Stamatopoulos, N. ; Louloudis, G.

  • Author_Institution
    Comput. Intell. Lab., Nat. Center for Sci. Res. Demokritos, Athens, Greece
  • fYear
    2009
  • Firstpage
    1393
  • Lastpage
    1397
  • Abstract
    The Handwriting Segmentation Contest was organized in the context of ICDAR2009 conference in order to record recent advances in off-line handwriting segmentation. This paper describes the contest details including the dataset, the ground truth and the evaluation criteria and presents the results of the 12 participating methods. The contest includes handwritten document images produced by many writers in several languages (English, French, German and Greek). These images are manually annotated in order to produce the ground truth which corresponds to the correct text line and word segmentation result. For the evaluation, a well established approach is used based on counting the number of matches between the entities detected by the segmentation algorithm and the entities in the ground truth.
  • Keywords
    document image processing; handwriting recognition; image segmentation; text analysis; handwritten document image; off-line handwriting segmentation; text line; Benchmark testing; Computational intelligence; Handwriting recognition; Image recognition; Image segmentation; Informatics; Laboratories; Natural languages; Text analysis; Text recognition; Document Image Segmentation; Evaluation;
  • 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.2009.245
  • Filename
    5277779