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ICDAR 2023 CROHME: Competition on Recognition of Handwritten Mathematical Expressions
Nantes Université, École Centrale Nantes, CNRS, LS2N, UMR 6004, 44000, Nantes, France.
Nantes Université, École Centrale Nantes, CNRS, LS2N, UMR 6004, 44000, Nantes, France.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0002-6756-0147
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
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2023 (English)In: Document Analysis and Recognition - ICDAR 2023, Part II / [ed] Gernot A. Fink, Rajiv Jain, Koichi Kise & Richard Zanibbi, Springer, 2023, p. 553-565Conference paper, Published paper (Refereed)
Abstract [en]

This paper overviews the 7th edition of the Competition on Recognition of Handwritten Mathematical Expressions. ICDAR 2023 CROHME proposes three tasks with three different modalities: on-line, off-line and bimodal. 3905 new handwritten equations have been collected to propose new training, validation and test sets for the two modalities. The complete training set includes previous CROHME training set extented with complementary off-line (from OffRaSHME competition) and on-line samples (generated). The evaluation is conducted using the same protocol as the previous CROHME, allowing a fair comparison with previous results. This competition allows for the first time the comparison of the on-line and off-line systems on the same test set. Six participating teams have been evaluated. Finally the same team won all 3 tasks with more than 80% of expression recognition rate.

Place, publisher, year, edition, pages
Springer, 2023. p. 553-565
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 14188
Keywords [en]
bimodal, dataset, evaluation, handwriting recognition, mathematical expression recognition
National Category
Computer Sciences
Research subject
Machine Learning
Identifiers
URN: urn:nbn:se:ltu:diva-103376DOI: 10.1007/978-3-031-41679-8_33Scopus ID: 2-s2.0-85173579550OAI: oai:DiVA.org:ltu-103376DiVA, id: diva2:1823730
Conference
17th International Conference on Document Analysis and Recognition ICDAR 2023), San José, CA, United States, August 21-26, 2023
Note

ISBN for host publication: 978-3-031-41678-1 (print), 978-3-031-41679-8 (electronic)

Available from: 2024-01-03 Created: 2024-01-03 Last updated: 2024-01-03Bibliographically approved

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