readme: ---
  library_name: PyLaia
  license: mit
  tags:
  - PyLaia
  - PyTorch
  - Handwritten text recognition
  metrics:
  - CER
  - WER
  language:
  - 'no'
  ---
  
  # Hugin-Munin handwritten text recognition
  
  This model performs Handwritten Text Recognition in Norwegian. It was was developed during the [HUGIN-MUNIN project](https://hugin-munin-project.github.io/).
  
  ## Model description
  
  The model has been trained using the PyLaia library on the [NorHand](https://zenodo.org/record/6542056) document images. 
  Line bounding boxes were improved using a post-processing step.
  
  Training images were resized with a fixed height of 128 pixels, keeping the original aspect ratio.
  
  ## Evaluation results
  
  The model achieves the following results:
  
  | set   | CER (%)    | WER (%)   |
  | ----- | ---------- | --------- | 
  | train | 2.33       | 5.62      |
  | val   | 8.20       | 24.75     |
  | test  | 7.81       | 23.3      |
  
  
  Results improve on validation and test sets when PyLaia is combined with a 6-gram language model. 
  The language model is trained on [this text corpus](https://www.nb.no/sprakbanken/en/resource-catalogue/oai-nb-no-sbr-73/) published by the National Library of Norway.
  
  | set   | CER (%)    | WER (%)   |
  | ----- | ---------- | --------- | 
  | train | 2.62       | 6.13      |
  | val   | 7.01       | 19.75     |
  | test  | 6.75       | 18.22     |
  
  
  ## How to use
  
  Please refer to the PyLaia library page (https://pypi.org/project/pylaia/) to use this model.
  
  # Cite us!
  
  ```bibtex
  @inproceedings{10.1007/978-3-031-06555-2_27,
  author = {Maarand, Martin and Beyer, Yngvil and K\r{a}sen, Andre and Fosseide, Knut T. and Kermorvant, Christopher},
  title = {A Comprehensive Comparison of Open-Source Libraries for Handwritten Text Recognition in Norwegian},
  year = {2022},
  isbn = {978-3-031-06554-5},
  publisher = {Springer-Verlag},
  address = {Berlin, Heidelberg},
  url = {https://doi.org/10.1007/978-3-031-06555-2_27},
  doi = {10.1007/978-3-031-06555-2_27},
  booktitle = {Document Analysis Systems: 15th IAPR International Workshop, DAS 2022, La Rochelle, France, May 22–25, 2022, Proceedings},
  pages = {399–413},
  numpages = {15},
  keywords = {Norwegian language, Open-source, Handwriting recognition},
  location = {La Rochelle, France}
  }
  ```