arXiv 2103.093542021-03cs.CVcs.AIcs.LG

Digital Peter: Dataset, Competition and Handwriting Recognition Methods

Sber（俄罗斯联邦储蓄银行）；Moscow Institute of Physics and Technology（莫斯科物理技术学院）；Lomonosov MSU（罗蒙诺索夫莫斯科国立大学）；STC-innovations（STC创新公司）；University of London（伦敦大学）；OCRV；AIRI（AIRI人工智能研究所）

Mark Potanin, Denis Dimitrov, Alex Shonenkov, Vladimir Bataev, Denis Karachev, Maxim Novopoltsev

备注：: 17 pages, 7 figures, submitted to ICDAR 2021

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英文摘要：

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 It consists of 9 694 images and text files corresponding to lines in historical documents.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.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

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