• DocumentCode
    1632100
  • Title

    Affixal Approach versus Analytical Approach for Off-Line Arabic Decomposable Vocabulary Recognition

  • Author

    Kanoun, Slim ; Slimane, Fouad ; Guesmi, Hanêne ; Ingold, Rolf ; Alimi, Adel M. ; Hennebert, Jean

  • Author_Institution
    Res. Group on Intell. Machines (REGIM), Univ. of Sfax, Sfax, Tunisia
  • fYear
    2009
  • Firstpage
    661
  • Lastpage
    665
  • Abstract
    In this paper, we propose a comparative study between the affixal approach and the analytical approach for off-line Arabic decomposable word recognition. The analytical approach is based on the modeling of alphabetical letters. The affixal approach is based on the modeling of the linguistic entity namely prefix, infix, suffix and root. The experimental results obtained by these two last approaches are presented on the basis of the printed decomposable word data set in mono-font nature by varying the character sizes. We achieve then our paper by the current improvements of our works concerning the Arabic multi-font, multi-style and multi-size word recognition.
  • Keywords
    image recognition; linguistics; natural languages; text analysis; vocabulary; affixal approach; alphabetical letter; linguistic entity; mono-font nature; off-line Arabic decomposable word recognition; vocabulary; Character recognition; Image analysis; Informatics; Information analysis; Information systems; Machine intelligence; Neural networks; Shape; Text analysis; Vocabulary; affixal approach; analytical approach; linguistic concepts of arabic vocabulary; offline arabic decomposable word recognition;
  • 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.2009.264
  • Filename
    5277473