metadata

library_name: PyLaia
license: mit
tags:
  - PyLaia
  - PyTorch
  - Handwritten text recognition
metrics:
  - CER
  - WER
language:
  - la

HOME-Alcar handwritten text recognition

This model performs Handwritten Text Recognition in Latin on medieval documents.

Model description

The model was trained using the PyLaia library on two medieval datasets:

Himanis (French)
HOME Alcar (Latin)

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.

Evaluation results

The model achieves the following results:

set	Language model	CER (%)	WER (%)	N lines
test	no	8.35	26.15	6932
test	yes	7.85	23.20	6932

How to use

Please refer to the documentation.