• DocumentCode
    2854486
  • Title

    Handwritten Cursive Jawi Character Recognition: A Survey

  • Author

    Nasrudin, M.F. ; Omar, K. ; Zakaria, M.S. ; Liong Choong Yeun

  • Author_Institution
    Center for Artificial Intell. Technol. (CAIT), Nat. Univ. of Malaysia, Bangi
  • fYear
    2008
  • fDate
    26-28 Aug. 2008
  • Firstpage
    247
  • Lastpage
    256
  • Abstract
    The subject of cursive handwritten character recognition is still open to be studied because of its complex nature. Recognition of Arabic handwritten and its variants such as Farsi (Persian) and Urdu had been receiving considerable attention in recent years. Numerous methods for recognizing Arabic characters have been proposed and applied to various types of images. These research highlights have not yet been given to another variant of Arabic which is the Jawi script. This paper provides a comprehensive review of existing works in handwritten Jawi character recognition. It includes the history and writing of Jawi, and challenges, current works, and future direction of Jawi character recognition system.
  • Keywords
    handwritten character recognition; numerical analysis; Arabic; Arabic characters; Farsi; Jawi script; Urdu; handwritten cursive Jawi character recognition; Algorithm design and analysis; Approximation algorithms; Character recognition; Handwriting recognition; Image segmentation; Skeleton; Writing; Cursive Script; Handwritten Character Recognition; Jawi; Off-line; Optical Character Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics, Imaging and Visualisation, 2008. CGIV '08. Fifth International Conference on
  • Conference_Location
    Penang
  • Print_ISBN
    978-0-7695-3359-9
  • Type

    conf

  • DOI
    10.1109/CGIV.2008.36
  • Filename
    4627015