Binarization for document images
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.
Clone the repository, enter it and run
pip install .
Pre-trained models can be downloaded from here:
https://qurator-data.de/sbb_binarization/
sbb_binarize \
--patches \
-m <directory with models> \
<input image> \
<output image>Note In virtually all cases, the --patches flag will improve results.