CROHME2011: Competition on Recognition of Online Handwritten Mathematical Expressions

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 dataset.
Complete list of metadatas

Cited literature [8 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00615216
Contributor : Harold Mouchère <>
Submitted on : Wednesday, June 18, 2014 - 11:48:13 AM
Last modification on : Monday, June 24, 2019 - 12:32:04 PM
Long-term archiving on: Thursday, September 18, 2014 - 10:36:27 AM

File

CROHME_CRC511.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00615216, version 1

Collections

Citation

Harold Mouchère, Christian Viard-Gaudin, Utpal Garain, Dae Hwan Kim, Jin Hyung Kim. CROHME2011: Competition on Recognition of Online Handwritten Mathematical Expressions. 11th International Conference on Document Analysis and Recognition, ICDAR 2011, Sep 2011, Beijing, China. 4 p. ⟨hal-00615216⟩

Share

Metrics

Record views

839

Files downloads

571