• DocumentCode
    2923580
  • Title

    Arabic handwriting recognition: Challenges and solutions

  • Author

    Aburas, Abdurazzag Ali ; Gumah, Mohamed E.

  • Author_Institution
    Electrical and Computer Engineering Dept, International Islamic University Malaysia, Malaysia
  • Volume
    2
  • fYear
    2008
  • fDate
    26-28 Aug. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Optical Characters Recognition (OCR) is one of the active subjects of research since the early days of computer science. Even if Arabic characters are used by more than a half a billion people; Arabic characters recognition has not received enough interests by the researchers. Little research progress has been achieved comparing to what has been done with Latin and Chinese. The cursive nature of the Arabic characters makes it more difficult to achieve a high accuracy in character recognition since even printed Arabic characters are in cursive form. This paper presents the main challenges (difficulties) researchers are facing and up to dated solutions (the common methods) are used for Arabic text recognition.
  • Keywords
    Character recognition; Feature extraction; Handwriting recognition; Image coding; Image segmentation; Optical character recognition software; Optical devices; Optical noise; Postal services; Sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, 2008. ITSim 2008. International Symposium on
  • Conference_Location
    Kuala Lumpur, Malaysia
  • Print_ISBN
    978-1-4244-2327-9
  • Electronic_ISBN
    978-1-4244-2328-6
  • Type

    conf

  • DOI
    10.1109/ITSIM.2008.4631744
  • Filename
    4631744