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| 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 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/) and [wiki](https://github.com/jpuigcerver/PyLaia/wiki/inference) 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} | |
| } | |
| ``` |