• DocumentCode
    3490311
  • Title

    ICDAR 2013 Competition on Handwriting Stroke Recovery from Offline Data

  • Author

    Hassaine, Abdulaali ; Al Maadeed, Somaya ; Bouridane, Ahmed

  • Author_Institution
    Comput. Sci. & Eng. Dept., Qatar Univ., Doha, Qatar
  • fYear
    2013
  • fDate
    25-28 Aug. 2013
  • Firstpage
    1412
  • Lastpage
    1416
  • Abstract
    Stroke recovery from offline handwriting is a very interesting research field. However, no standard benchmark is available for researchers in this field. The aim of this competition is to gather researchers and compare recent advances in stroke recovery from offline handwriting. This competition has been hosted on Kaggle, it has attracted 45 teams from both academia and industry. This paper gives details on this competition, including the dataset used, the evaluation procedure and description of participating methods and their performances.
  • Keywords
    handwriting recognition; handwritten character recognition; image restoration; ICDAR2013; Kaggle; evaluation procedure; offline data; offline handwriting stroke recovery; participating method description; Atmospheric measurements; Benchmark testing; Educational institutions; Handwriting recognition; Particle measurements; Text analysis; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition (ICDAR), 2013 12th International Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2013.285
  • Filename
    6628846