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

Research Tasks

Offline Handwritten Formula Recognition

2020-01-29 (v. 1)

Contact author

Harold Mouchère

LS2N / Université de Nantes

harold.mouchere@univ-nantes.fr

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

Description

For offline recognition of handwritten inputs, we will render images from the (x,y) points in the CROHME InkML files. As in the previous task, for a given test image, participating systems must produce one .lg file. Please notice since primitive level information (connected components) is not provided, we evaluate the systems based on the correct symbols and correct relation between the symbols (symbolic evaluation). Systems can produce a LaTeX string or Presentation MathML tree as output. LaTeX and MathML should be converted to symbolic LG for evaluation using provided toolsi (tex2symlg and mml2symlg). There are also tools to convert .lg files to symbolic label graphs (lg2symlg) for interested participants (although they will be defining their own ‘stroke’ primitives in that case).

For evaluation, we will use the same evaluation tools as in online recognition tasks, only ignoring CC (connected components) segmentation and the correspondence of CCs to symbols with this new format in symLGs.

Protocol

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