kraken

OCR engine compatible with ocropus

Project description

Description

https://travis-ci.org/mittagessen/kraken.svg

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 the documentation

Project details

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5.3.0

Nov 21, 2024

5.2.9

Aug 27, 2024

5.2.8

Jul 24, 2024

5.2.7

Jul 8, 2024

5.2.6

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5.2.5

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5.2.1

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5.0.0 yanked

Mar 28, 2024

Reason this release was yanked:

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4.3.13

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4.1.1

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1.0.1

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1.0.0

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Reason this release was yanked:

conflict with modern install tools

0.9.4 yanked

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This version

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0.1.0 yanked

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Reason this release was yanked:

conflict with modern install tools

0.1-dev pre-release yanked

Dec 16, 2013

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