README.md

---
library_name: PyLaia
license: mit
tags:
- PyLaia
- PyTorch
- atr
- htr
- ocr
- historical
- handwritten
metrics:
- CER
- WER
language:
- 'no'
datasets:
- Teklia/NorHand_v1
pipeline_tag: image-to-text
---

# PyLaia - NorHand v1

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 v1](https://zenodo.org/record/6542056) dataset.

Training images were resized with a fixed height of 128 pixels, keeping the original aspect ratio.

| set   | horizontal lines | 
| :---- | ------: | 
| train | 19,653  |
| val   |  2,286  |
| test  |  1,793  |

An external 6-gram character language model can be used to improve recognition. The language model is trained on the text from the NorHand v1 training set.

## Evaluation results

The model achieves the following results:

| set   | Language model | CER (%)    | WER (%) | lines     |
|:------|:---------------| ----------:| -------:|----------:|
| test  | no             |  7.94      |   24.04 |     1,793 |
| test  | yes            |  6.55      |   18.20 |     1,793 |

## How to use?

Please refer to the [PyLaia documentation](https://atr.pages.teklia.com/pylaia/usage/prediction/) to use this model.

# Cite us!

```bibtex
@inproceedings{pylaia2024,
    author = {Tarride, Solène and Schneider, Yoann and Generali-Lince, Marie and Boillet, Mélodie and Abadie, Bastien and Kermorvant, Christopher},
    title = {{Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library}},
    booktitle = {Document Analysis and Recognition - ICDAR 2024},
    year = {2024},
    publisher = {Springer Nature Switzerland},
    address = {Cham},
    pages = {387--404},
    isbn = {978-3-031-70549-6}
}
```

```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}
}
```