• DocumentCode
    2149639
  • Title

    International Conference on Document Analysis and Recognition (ICDAR 2011) - Competitions Overview

  • Author

    El Abed, Haikal ; Wenyin, Liu ; Märgner, Volker

  • Author_Institution
    Inst. for Commun. Technol. (IfN), Tech. Univ. Braunschweig, Braunschweig, Germany
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    1437
  • Lastpage
    1443
  • Abstract
    The great success and high number of participants in pattern recognition related competitions last years show an important improvement of recognition and classification approaches. This success is unconceivable without the availability of huge datasets of real world data. Within the scope of the 11th International Conference on Document Analysis and Recognition (ICDAR2011) a call for competitions was initiated. The aim of the competitions is the performance evaluation of algorithms and methods for a particular task of document analysis and recognition. 22 different teams have submitted their proposals. The subjects of these propositions cover the field of research of document analysis and recognition from pre-processing over document analysis to text recognition or writer identification. 16 competitions have received enough participants (we have defined the threshold to 3 systems) to present their evaluation at the ICDAR 2011.
  • Keywords
    classification; pattern recognition; text analysis; document analysis; document recognition; pattern recognition; text recognition; writer identification; Computer science; Educational institutions; Handwriting recognition; Image recognition; Text analysis; Text recognition; Benchmarking; Competition; Contest; Evaluation; ICDAR2011;
  • 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.2011.286
  • Filename
    6065546