• DocumentCode
    2149686
  • Title

    ICDAR 2011 - Arabic Recognition Competition: Multi-font Multi-size Digitally Represented Text

  • Author

    Slimane, Fouad ; Kanoun, Slim ; Abed, H.E. ; Alimi, Adel M. ; Ingold, Rolf ; Hennebert, Jean

  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    1449
  • Lastpage
    1453
  • Abstract
    This paper describes the Arabic Recognition Competition: Multi-font Multi-size Digitally Represented Text held in the context of the 11th International Conference on Document Analysis and Recognition (ICDAR2011), during September 18-21, 2011, Beijing, China. This first competition used the freely available Arabic Printed Text Image (APTI) database. Several research groups have started using the APTI database and this year, 2 groups with 3 systems are participating in the competition. The systems are compared using the recognition rates at the character and word levels. The systems were tested on one test dataset which is unknown to all participants (set 6 of APTI database). The systems are compared on the most important characteristic of classification systems, the recognition rate. A short description of the participating groups, their systems, the experimental setup, and the observed results are presented.
  • Keywords
    character recognition; document image processing; image classification; image representation; natural languages; printing; text analysis; visual databases; APTI database; Arabic printed text image database; Arabic recognition competition; ICDAR2011; character recognition; classification system; document analysis; document recognition; multifont multisize digitally text representation; Character recognition; Databases; Handwriting recognition; Hidden Markov models; Image recognition; Protocols; Text recognition; APTI Database; Arabic; Competition; Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition (ICDAR), 2011 International Conference on
  • Conference_Location
    Beijing
  • ISSN
    1520-5363
  • Print_ISBN
    978-1-4577-1350-7
  • Electronic_ISBN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2011.288
  • Filename
    6065548