PyLaia
Collection
The PyLaia collection contains models designed for Automatic Text Recognition (ATR) from line images.
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15 items
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Updated
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3
This model performs Handwritten Text Recognition in Latin on medieval documents.
The model was trained using the PyLaia library on two medieval datasets:
For training, text-lines were resized with a fixed height of 128 pixels, keeping the original aspect ratio.
An external 6-gram character language model can be used to improve recognition. The language model is trained on the text from the HOME Alcar training set.
On HOME-Alcar text lines, the model achieves the following results:
set | Language model | CER (%) | WER (%) | N lines |
---|---|---|---|---|
test | no | 8.35 | 26.15 | 6,932 |
test | yes | 7.85 | 23.20 | 6,932 |
Please refer to the documentation.
@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"
}