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OCR_Testdata_EarlyPrintedBooks

A selection of test lines of several early printed books as well as the corresponding individual OCRopus models and mixed models.

Data

LatinHist-98000.pyrnn.gz is a mixed OCRopus model trained on twelve Latin books printed with Antiqua types between 1471 and 1686 with a focus (ten out of twelve) on early works produced before 1600. For details about the books please see [1] . The training was performed on 8,684 lines and the best model was chosen by evaluating all resulting models on 2,432 previously unseen test lines. The lowest achieved CER was 2.92% after 98,000 training steps.

The Books folder contains seven early printed books used for evaluation in [2][3]. For each book we made 150 lines of GT available as well as a strong individual model (coming soon) trained on an extensive amount of lines (at least 1,500). For details about the books please see [2][3].

For additional GT for Latin, Greek and German Fraktur please see the CIS OCR Testset.

Licence

Citation

Please cite (one of) the following publications when using the data.

Latin Hist

[1] Springmann et al.. (2016). Automatic quality evaluation and (semi-) automatic improvement of OCR models for historical printings. ArXiv e-prints.

@article{springmann2016automatic,
  title = {Automatic quality evaluation and (semi-) automatic
		  improvement of {OCR} models for historical printings},
  author = {Springmann, Uwe and Fink, Florian and Schulz, Klaus U},
  journal = {ArXiv e-prints},
  url = {https://arxiv.org/abs/1606.05157},
  year = {2016}
}

Seven Mixed Early Printed Books

[2] Reul et al.. (2017). Improving OCR Accuracy on Early Printed Books by Utilizing Cross Fold Training and Voting. ArXiv e-prints. Submitted to the 13th IAPR International Workshop on Document Analysis Systems.

@article{reul2017voting,
  title = {Improving {OCR} Accuracy on Early Printed Books by Utilizing Cross Fold Training and Voting},
  author = {Reul, Christian and Springmann, Uwe and Wick, Christoph and Puppe, Frank},
  journal = {ArXiv e-prints},
  url = {https://arxiv.org/abs/1711.09670},
  year = {2017}
}

[3] Reul et al.. (2017). Transfer Learning for OCRopus Model Training on Early Printed Books. ArXiv e-prints. Submitted to 027.7 - Journal for Library Culture.

@article{reul2017transfer,
  title = {Transfer Learning for OCRopus Model Training on Early Printed Books},
  author = {Reul, Christian and Wick, Christoph and Springmann, Uwe and Puppe, Frank},
  journal = {ArXiv e-prints},
  url = {https://arxiv.org/abs/1712.05586},
  year = {2017}
}