GT4HistOCR: Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin Article Swipe
Uwe Springmann
,
Christian Reul
,
Stefanie Dipper
,
Johannes Baiter
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.1344132
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.1344132
GT4HistOCR contains ground truth for research in Optical Character Recognition (OCR) technology applied to historical printings in German Fraktur and Early Modern Latin. The ground truth comes in pairs of images of single printed lines as they appear in book pages (*.png) and their corresponding diplomatic transcriptions (*.gt.txt), which are UTF-8 strings preserving the character forms (glyphs) as much as possible within the UNICODE standard. These pairs of line images and their transcriptions can be directly used to train recognition models with, e.g., the open source OCR engines OCRopy or Tesseract. A total of 313,173 ground truth lines are provided. Please note that the subcorpora making up this collection used different transcription guidelines, so it is a bad idea to train a recognition model on the total collection! Rather train individual models for each subcorpus. Fur further information about the subcorpora, please see the README file and the accompanying publication. If these data are useful for you, please cite the accompanying publication: @article{springmann2018gt4hist, author = {Uwe Springmann and Christian Reul and Stefanie Dipper and Johannes Baiter}, title = {{Ground Truth for training {OCR} engines on historical documents in German Fraktur and Early Modern Latin}}, journal = {J. Lang. Technol. Comput. Linguistics}, volume = {33}, number = {1}, pages = {97--114}, year = {2018}, url = {https://jlcl.org/content/2-allissues/1-heft1-2018/jlcl_2018-1_5.pdf} }
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Metadata
- Type
- dataset
- Language
- en
- Landing Page
- https://doi.org/10.5281/zenodo.1344132
- OA Status
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- Cited By
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- Related Works
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- OpenAlex ID
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All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W3012971703Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5281/zenodo.1344132Digital Object Identifier
- Title
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GT4HistOCR: Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern LatinWork title
- Type
-
datasetOpenAlex work type
- Language
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enPrimary language
- Publication year
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2018Year of publication
- Publication date
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2018-08-12Full publication date if available
- Authors
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Uwe Springmann, Christian Reul, Stefanie Dipper, Johannes BaiterList of authors in order
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https://doi.org/10.5281/zenodo.1344132Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://doi.org/10.5281/zenodo.1344132Direct OA link when available
- Concepts
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Unicode, German, Character (mathematics), Optical character recognition, Ground truth, Computer science, Natural language processing, Artificial intelligence, Information retrieval, Linguistics, Speech recognition, Philosophy, Mathematics, Image (mathematics), GeometryTop concepts (fields/topics) attached by OpenAlex
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7Total citation count in OpenAlex
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2021: 2, 2019: 3, 2018: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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