Teklia/pylaia-norhand-v2

PyLaia - NorHand v2

This model performs Handwritten Text Recognition in Norwegian. It was developed during the HUGIN-MUNIN project.

Model description

The model was trained using the PyLaia library on the NorHand v2 dataset.

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

set	lines	horizontal lines
train	146,693	145,061
val	15,119	14,980
test	1,830	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 v2 training set.

Evaluation results

The model achieves the following results:

set	Language model	CER (%)	WER (%)	lines
test	no	3.82	12.00	1,573
test	yes	3.13	9.29	1,573

How to use?

Please refer to the PyLaia documentation to use this model.

Cite us!

@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}
}