• DocumentCode
    2719121
  • Title

    Arabic text recognition systems - state of the art and future trends

  • Author

    El Abed, Haikal ; Märgner, Volker

  • Author_Institution
    Inst. for Commun. Technol. (IfN), Tech. Univ. Braunschweig, Braunschweig
  • fYear
    2008
  • fDate
    16-18 Dec. 2008
  • Firstpage
    692
  • Lastpage
    696
  • Abstract
    Arabic character and text recognition methods for printed or handwritten characters are known since many years. We present in the first part of this paper a state of the art of Arabic text classification techniques and existing recognition systems. In the second part we discuss how evaluation methods and competitions help to support the development of text recognition systems and methods. Based on the results of the last Arabic handwriting recognition competition we show a concept to develop efficient recognition systems. On the basis of the actual situation of research future trends are described in the last part of this paper.
  • Keywords
    character recognition; handwriting recognition; hidden Markov models; natural languages; neural nets; visual databases; Arabic text classification techniques; Arabic text recognition systems; handwritten character recognition; Character recognition; Communications technology; Handwriting recognition; Hidden Markov models; Neural networks; Optical character recognition software; System testing; Text categorization; Text recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Information Technology, 2008. IIT 2008. International Conference on
  • Conference_Location
    Al Ain
  • Print_ISBN
    978-1-4244-3396-4
  • Electronic_ISBN
    978-1-4244-3397-1
  • Type

    conf

  • DOI
    10.1109/INNOVATIONS.2008.4781781
  • Filename
    4781781