PyLaia
Collection
The PyLaia collection contains models designed for Automatic Text Recognition (ATR) from line images.
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14 items
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Updated
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1
This model performs Handwritten Text Recognition in English on modern documents.
The model was trained using the PyLaia library on the RWTH split of the IAM database.
For training, text-lines were resized with a fixed height of 128 pixels, keeping the original aspect ratio.
split | N lines |
---|---|
train | 6,482 |
val | 976 |
test | 2,915 |
An external 6-gram character language model can be used to improve recognition. The language model is trained on the text from the IAM training set.
The model achieves the following results:
set | Language model | CER (%) | WER (%) | N lines |
---|---|---|---|---|
test | no | 8.44 | 24.51 | 2,915 |
test | yes | 7.50 | 20.98 | 2,915 |
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"
}