• DocumentCode
    1991058
  • Title

    Strategies for visual arabic handwriting recognition: Issues and case study

  • Author

    Cheriet, Mohamed

  • Author_Institution
    Lab. for Imagery, Univ. of Quebec, Quebec City, QC
  • fYear
    2007
  • fDate
    12-15 Feb. 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Automatic recognition of Arabic handwritten text is a problem worth solving; it gained more and more interest in recent years, for various reasons. In this paper we address the most frequently encountered problems when dealing with Arabic handwriting recognition and we briefly present lessons learnt from several serious attempts that have been undertaken in this regard. We give a summary of techniques concerning Arabic handwriting recognition research. We will end by a case study, recognition of Tunisian city names, emphasizing on visual-based strategies for Arabic handwriting recognition (AHR).
  • Keywords
    handwriting recognition; handwritten character recognition; natural languages; Arabic handwriting recognition; Arabic handwritten text recognition; Tunisian city name recognition; automatic recognition; visual-based strategies; Artificial intelligence; Computer aided software engineering; Concatenated codes; Databases; Handwriting recognition; Laboratories; Optical character recognition software; Paper technology; Text recognition; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on
  • Conference_Location
    Sharjah
  • Print_ISBN
    978-1-4244-0778-1
  • Electronic_ISBN
    978-1-4244-1779-8
  • Type

    conf

  • DOI
    10.1109/ISSPA.2007.4555620
  • Filename
    4555620