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README.md
Textline Detection
Detect textlines in document images
Introduction
This tool performs printspace, region and textline detection from document image data and returns the results as PAGE-XML. The goal of this project is to extract textlines of a document to feed an ocr model. This is achieved by four successive stages as follows:
- Printspace or border extraction
- Layout analysis
- Textline detection
- Heuristic methods
Installation
pip install .
Models
In order to run this tool you also need trained models. You can download our pretrained models from here:
https://qurator-data.de/sbb_textline_detector/
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 retains
AlternativeImage
s from binarization steps, so it's OK 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.