--- library_name: PyLaia license: mit tags: - PyLaia - PyTorch - atr - htr - ocr - historical - handwritten metrics: - CER - WER language: - 'no' pipeline_tag: image-to-text --- # PyLaia - NorHand v1 (post-processed) 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. 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 | 23.30 | 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 [documentation](https://atr.pages.teklia.com/pylaia/). # Cite us! ```bibtex @inproceedings{pylaia-lib, author = "Tarride, Solène and Schneider, Yoann and Generali, Marie and Boillet, Melodie and Abadie, Bastien and Kermorvant, Christopher", title = "Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library", booktitle = "Submitted at ICDAR2024", year = "2024" } ``` ```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} } ```