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README.md
Binarization
Binarization for document images
Examples
Introduction
This tool performs document image binarization (i.e. transform colour/grayscale to black-and-white pixels) for OCR using multiple trained models.
The method used is based on Calvo-Zaragoza/Gallego, 2018. A selectional auto-encoder approach for document image binarization.
Installation
Clone the repository, enter it and run
pip install .
Models
Pre-trained models can be downloaded from here:
https://qurator-data.de/sbb_binarization/
Usage
sbb_binarize \
--patches \
-m <directory with models> \
<input image> \
<output image>
Note In virtually all cases, the --patches flag will improve results.
To use the OCR-D interface:
ocrd-sbb-binarize --overwrite -I INPUT_FILE_GRP -O OCR-D-IMG-BIN -P model "/var/lib/sbb_binarization"