OCR engine compatible with ocropus
Project description
- ┌────────────────────────────┐
│ Description │ └────────────────────────────┘
kraken is a fork of ocropus intended to rectify a number of issues while preserving (mostly) functional equivalence. Its main goals are:
Explicit input/output handling ✓
Clean public API
Word bounding boxes in hOCR ✓
Tests
Removal of runtime dependency on gcc ✓
Removal of unused spaghetti code ✓
Ticked of goals have been realized while some others still require further work. Pull requests and code contributions are always welcome.
┌────────────────────────────┐ │ Installation │ └────────────────────────────┘
While kraken does not require a working C compiler on run-time anymore numpy and scipy compilation still requires build-essential or your distributions equivalent. Because the build behavior of pip versions older than 6.1.0 interferes with the scipy build process numpy has to be installed before doing the actual install:
# pip install numpy
Install kraken either from pypi:
$ pip install kraken
or by running pip in the git repository:
$ pip install .
Finally you’ll have to scrounge up an RNN to do the actual recognition of characters. To download ocropus’ default RNN and place it in the kraken directory for the current user:
$ kraken download
┌────────────────────────────┐ │ Quickstart │ └────────────────────────────┘
To binarize a single image using the nlbin algorithm:
$ kraken binarize grey.png bw.png
To segment a binarized image into reading-order sorted lines:
$ kraken segment bw.png lines.txt
To OCR a binarized image using the default RNN and the previously generated page segmentation:
$ kraken ocr –lines lines.txt bw.png
┌────────────────────────────┐ │ Documentation │ └────────────────────────────┘
Have a look at http://mittagessen.github.io/kraken
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