"ICFHR2016 CROHME: Competition on recognition of online handwritten mat" by H. Mouchère, C. Viard-Gaudin et al.
 

ICFHR2016 CROHME: Competition on recognition of online handwritten mathematical expressions

Document Type

Conference Article

Publication Title

Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR

Abstract

This paper presents an overview of the 5th Competition on Recognition of Online Handwritten Mathematical Expressions (CROHME). As in previous years, the main task is formula recognition from handwritten strokes (Task 1). Additional tasks include classification of isolated symbols (Task 2a), classification of isolated valid and invalid symbols (Task 2b), a new task on parsing formula structure from valid handwritten symbols (Task 3), and parsing expressions with matrices (Task 4, experimental). In total, eleven (11) research labs registered for the competition, with six (6) teams submitting results. Innovations for this CROHME included providing a corpus of formulae from Wikipedia to train language models, and an online system for result submission. The highest recognition rates were obtained by MyScript corporation (Task 1. 67.65%, 2a. 92.81%, 2b. 86.77%, 3. 84.38%, and 4. 68.40%). Using only provided training data, the highest recognition rates were obtained by WIRIS corporation (Task 1. 49.61%, Task 3. 78.80%, Task 4. 56.40%), the Tokyo University of Agriculture and Technology (Task 2a. 92.28%), and RIT (Task 2b. 83.34%). The competition results suggest that recognition of handwritten formulae remains a difficult structural pattern recognition task.

First Page

607

Last Page

612

DOI

10.1109/ICFHR.2016.0116

Publication Date

7-2-2016

Comments

Open Access; Green Open Access

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