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Generic framework for historical document processing
| Date | Stars |
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| 2026-07-24 | 383 |
| 2026-07-25 | 383 |
| 2026-07-28 | 383 |
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| 2026-08-06 | 383 |
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# dhSegment
[](https://dhsegment.readthedocs.io/en/latest/?badge=latest)
**dhSegment** is a tool for Historical Document Processing. Its generic approach allows to segment regions and
extract content from different type of documents. See
[some examples here](https://dhsegment.readthedocs.io/en/latest/intro/intro.html#use-cases).
The complete description of the system can be found in the corresponding [paper](https://arxiv.org/abs/1804.10371).
It was created by [Benoit Seguin](https://twitter.com/Seguin_Be) and Sofia Ares Oliveira at DHLAB, EPFL.
## Installation and usage
The [installation procedure](https://dhsegment.readthedocs.io/en/latest/start/install.html)
and examples of usage can be found in the documentation (see section below).
## Demo
Have a try at the [demo](https://dhsegment.readthedocs.io/en/latest/start/demo.html) to train (optional) and apply dhSegment in page extraction using the `demo.py` script.
## Documentation
The documentation is available on [readthedocs](https://dhsegment.readthedocs.io/).
##
If you are using this code for your research, you can cite the corresponding paper as :
```
@inproceedings{oliveiraseguinkaplan2018dhsegment,
title={dhSegment: A generic deep-learning approach for document segmentation},
author={Ares Oliveira, Sofia and Seguin, Benoit and Kaplan, Frederic},
booktitle={Frontiers in Handwriting Recognition (ICFHR), 2018 16th International Conference on},
pages={7--12},
year={2018},
organization={IEEE}
}
```
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