ICDAR 2019 Competition on Recognition of Handwritten Mathematical Expressions and Typeset Formula Detection (ICDAR2019-CROHME-TDF)

Research Tasks

Online Handwritten Formula Recognition

2020-01-29 (v. 1)

Contact author

Harold Mouchère

LS2N / Université de Nantes




This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.


For the traditional task in CROHME, participants must convert a list of handwritten strokes captured as a list of polylines from a tablet or similar devices to a Symbol Layout Tree (SLT). This SLT captures the segmentation of strokes into symbols, symbol classification, and the spatial relationships between symbols. SLTs are represented using labeled directed graphs, so that all segmentation, classification, and relationship (parsing) errors can be automatically identified and compiled using tools developed for CROHME (CROHMELib and LgEval).



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