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Textline Detection

Introduction

This tool performs printspace, region and textline detection from document image data and returns the results as PAGE-XML.

Installation

pip install .

Models

In order to run this tool you also need trained models. You can download our pre-trained models from here:
https://file.spk-berlin.de:8443/textline_detection/

Usage

sbb_textline_detector -i <image file name> -o <directory to write output xml> -m <directory of models>

Usage with OCR-D

ocrd-example-binarize -I OCR-D-IMG -O OCR-D-IMG-BIN
ocrd-sbb-textline-detector -I OCR-D-IMG-BIN -O OCR-D-SEG-LINE-SBB \
        -p '{ "model": "/path/to/the/models/textline_detection" }'

Segmentation works on raw RGB images, but respects and retains AlternativeImages from binarization steps, so it's a good idea to do binarization first, then perform the textline detection. The used binarization processor must produce an AlternativeImage for the binarized image, not replace the original raw RGB image.

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