| --- |
| library_name: PyLaia |
| license: mit |
| tags: |
| - PyLaia |
| - PyTorch |
| - Handwritten text recognition |
| metrics: |
| - CER |
| - WER |
| --- |
| |
| # 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. |
| 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 | 2.17 | 7.65 | |
| | val | 8.78 | 24.93 | |
| | test | 7.94 | 24.04 | |
|
|
|
|
| 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 | 2.40 | 8.10 | |
| | val | 7.45 | 19.75 | |
| | test | 6.55 | 18.2 | |
|
|
|
|
| ## 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} |
| } |
| ``` |
