On Recognition of Cyrillic Text

Abstract

We introduce the largest (among publicly available) dataset for Cyrillic Handwritten Text Recognition and the first dataset for Cyrillic Text in the Wild Recognition, as well as suggest a method for recognizing Cyrillic Handwritten Text and Text in the Wild. Based on this approach, we develop a system that can reduce the document processing time for one of the largest mathematical competitions in Ukraine by 12 days and the amount of used paper by 0.5 ton.

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Cite

Text

Liepieshov and Dobosevych. "On Recognition of Cyrillic Text." NeurIPS 2019 Workshops: Document_Intelligence, 2019.

Markdown

[Liepieshov and Dobosevych. "On Recognition of Cyrillic Text." NeurIPS 2019 Workshops: Document_Intelligence, 2019.](https://mlanthology.org/neuripsw/2019/liepieshov2019neuripsw-recognition/)

BibTeX

@inproceedings{liepieshov2019neuripsw-recognition,
  title     = {{On Recognition of Cyrillic Text}},
  author    = {Liepieshov, Kostiantyn and Dobosevych, Oles},
  booktitle = {NeurIPS 2019 Workshops: Document_Intelligence},
  year      = {2019},
  url       = {https://mlanthology.org/neuripsw/2019/liepieshov2019neuripsw-recognition/}
}