• DocumentCode
    2448194
  • Title

    AraPen: An Arabic Online Handwriting Recognition System

  • Author

    Alsallakh, Bilal ; Safadi, Hani

  • Author_Institution
    Fac. of Informatics Eng., Damascus Univ.
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1844
  • Lastpage
    1849
  • Abstract
    In this paper we present AraPen, a trainable system we developed to recognize Arabic online handwriting. The system is based on mathematical matching techniques and our testing results show high recognition rate for non-cursive character recognition, and are promising for cursive recognition. The low memory and CPU requirements enable the system to run on low-end devices interactively
  • Keywords
    handwritten character recognition; image matching; natural languages; Arabic online handwriting recognition system; character recognition; mathematical matching; trainable system; Bandwidth; Character recognition; Handheld computers; Handwriting recognition; Humans; Keyboards; System testing; Taxonomy; Text recognition; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies, 2006. ICTTA '06. 2nd
  • Conference_Location
    Damascus
  • Print_ISBN
    0-7803-9521-2
  • Type

    conf

  • DOI
    10.1109/ICTTA.2006.1684669
  • Filename
    1684669
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2448194