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
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