Digital Peter: Dataset, Competition and Handwriting Recognition Methods

• URL: http://arxiv.org/abs/2103.09354v1
• Date: Tue, 16 Mar 2021 22:37:22 GMT
• Title: Digital Peter: Dataset, Competition and Handwriting Recognition Methods
• Authors: Mark Potanin, Denis Dimitrov, Alex Shonenkov, Vladimir Bataev, Denis Karachev and Maxim Novopoltsev
• Abstract summary: This paper presents a new dataset of Peter the Great's manuscripts. It consists of 9 694 images and text files corresponding to lines in historical documents.
• Score: 0.685068326729525
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper presents a new dataset of Peter the Great's manuscripts and describes a segmentation procedure that converts initial images of documents into the lines. The new dataset may be useful for researchers to train handwriting text recognition models as a benchmark for comparing different models. It consists of 9 694 images and text files corresponding to lines in historical documents. The open machine learning competition Digital Peter was held based on the considered dataset. The baseline solution for this competition as well as more advanced methods on handwritten text recognition are described in the article. Full dataset and all code are publicly available.

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