Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin

Uwe Springmann; Christian Reul; Stefanie Dipper; Johannes Baiter

doi:10.21248/jlcl.33.2018.220

Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin

Authors

Uwe Springmann
Christian Reul https://orcid.org/0000-0002-1776-1469
Stefanie Dipper https://orcid.org/0000-0003-4357-9078
Johannes Baiter

DOI:

https://doi.org/10.21248/jlcl.33.2018.220

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Published

2018-07-01

How to Cite

Springmann, U., Reul, C., Dipper, S., & Baiter, J. (2018). Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin. Journal for Language Technology and Computational Linguistics, 33(1), 97–114. https://doi.org/10.21248/jlcl.33.2018.220

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Issue

Vol. 33 No. 1 (2018): Special issue on automatic text and layout recognition

Section

Resource and tool descriptions

License

This work is licensed under a Creative Commons Attribution 4.0 International License.