---
library_name: PyLaia
license: mit
tags:
- PyLaia
- PyTorch
- Handwritten text recognition
metrics:
- CER
language:
- 'zh'
---

# CASIA-HWDB2 handwritten text recognition

This model performs Handwritten Text Recognition in Chinese.

## Model description

The model was trained using the PyLaia library on the [CASIA-HWDB1](http://www.nlpr.ia.ac.cn/databases/handwriting/Offline_database.html) document images.
Training images 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 CASIA-HWDB2 training set.

## Evaluation results

The model achieves the following results:

| set   | Language model | CER (%)    | N lines   |
|:------|:---------------|:----------:|----------:|
| test  | no             | 4.61       | 10,449    |
| test  | yes            | 1.53       | 10,449    |

## How to use

Please refer to the [documentation](https://atr.pages.teklia.com/pylaia/).