• DocumentCode
    2149970
  • Title

    CROHME2011: Competition on Recognition of Online Handwritten Mathematical Expressions

  • Author

    Mouchere, Harold ; Viard-Gaudin, Christian ; Dae Hwan Kim ; Jin Hyung Kim ; Garain, U.

  • Author_Institution
    IRCCyN/IVC, Univ. de Nantes, Nantes, France
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    1497
  • Lastpage
    1500
  • Abstract
    A competition on recognition of online handwritten mathematical expressions is organized. Recognition of mathematical expressions has been an attractive problem for the pattern recognition community because of the presence of enormous uncertainties and ambiguities as encountered during parsing of the two-dimensional structure of expressions. The goal of this competition is to bring out a state of the art for the related research. Three labs come together to organize the event and six other research groups participated the competition. The competition defines a standard format for presenting information, provides a training set of 921 expressions and supplies the underlying grammar for understanding the content of the training data. Participants were invited to submit their recognizers which were tested with a new set of 348 expressions. Systems are evaluated based on four different aspects of the recognition problem. However, the final rating of the systems is done based on their correct expression recognition accuracies. The best expression level recognition accuracy (on the test data) shown by the competing systems is 19.83% whereas a baseline system developed by one of the organizing groups reports an accuracy 22.41% on the same data set.
  • Keywords
    handwriting recognition; handwritten character recognition; pattern recognition; expression level recognition accuracy; mathematical expression recognition; online handwritten recognition; pattern recognition; Accuracy; Communities; Grammar; Handwriting recognition; Ink; Organizing; Training; Mathematical expressions; Online handwriting; evaluation; symbol 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.2011.297
  • Filename
    6065557