ICFHR 2016 CROHME: Competition on Recognition of Online Handwritten Mathematical Expressions

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.
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https://hal.archives-ouvertes.fr/hal-01374346
Contributor : Harold Mouchère <>
Submitted on : Friday, September 30, 2016 - 12:04:37 PM
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Harold Mouchère, Christian Viard-Gaudin, Richard Zanibbi, Utpal Garain. ICFHR 2016 CROHME: Competition on Recognition of Online Handwritten Mathematical Expressions. International Conference on Frontiers in Handwriting Recognition (ICFHR), Oct 2016, Shenzhen, China. ⟨hal-01374346⟩

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