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1 Correction to: Neural Computing and Applications (2020) 32:17209–17227 https://doi.org/10.1007/s00521-020-04910-x
The article [Building an efficient OCR system for historical documents with little training data], written by [Jiří Martínek, Ladislav Lenc and Pavel Král1,2], was originally published electronically on the publisher’s internet portal (currently SpringerLink) on [9th May 2020] without open access. With the author(s)’ decision to order Open Choice, the copyright of the article changed on 3rd December 2020] to © The Author(s) 2020 and the article is forthwith distributed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0.
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Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
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Martínek, J., Lenc, L. & Král, P. Correction to: Building an efficient OCR system for historical documents with little training data. Neural Comput & Applic 34, 813 (2022). https://doi.org/10.1007/s00521-020-05563-6
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DOI: https://doi.org/10.1007/s00521-020-05563-6