• DocumentCode
    2755719
  • Title

    Arabic handwritten datasets for pattern recognition and machine learning

  • Author

    Musa, Mohamed E M

  • Author_Institution
    Sudan Univ. of Sci. & Technol., Khartoum, Sudan
  • fYear
    2011
  • fDate
    12-14 Oct. 2011
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    This paper describes the efforts of SUST-ALT (Sudan University of Science and Technology- Arabic Language Technology group) research group towards building datasets for research in recognition of Arabic handwritten. The datasets contain: numerals datasets, isolated Arabic letters datasets, Arabic names datasets. Most of these datasets are off-line. The paper also describes some published results as well as future work.
  • Keywords
    handwritten character recognition; image recognition; learning (artificial intelligence); natural languages; Arabic handwritten dataset; Arabic handwritten recognition; Arabic name dataset; SUST-ALT; Sudan University of Science and Technology- Arabic language technology group; isolated Arabic letter dataset; machine learning; numerals dataset; pattern recognition; Educational institutions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Application of Information and Communication Technologies (AICT), 2011 5th International Conference on
  • Conference_Location
    Baku
  • Print_ISBN
    978-1-61284-831-0
  • Type

    conf

  • DOI
    10.1109/ICAICT.2011.6110959
  • Filename
    6110959