sbb-binarization 0.0.10

Pixelwise binarization with selectional auto-encoders in Keras

Binarization

Binarization for document images

Examples

Introduction

This tool performs document image binarization using trained models. The method is based on Calvo-Zaragoza and Gallego, 2018.

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 <path to directory containing model files> \
  <input image> \
  <output image>

Note In virtually all cases, applying the --patches flag will improve the quality of results.

Example

sbb_binarize --patches -m /path/to/models/ myimage.tif myimage-bin.tif

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"