Metadata-Version: 1.1
Name: kraken
Version: 0.7.2
Summary: OCR engine compatible with ocropus
Home-page: http://kraken.re
Author: Benjamin Kiessling
Author-email: mittagessen@l.unchti.me
License: Apache
Description: Description
        ===========
        
        .. image:: https://travis-ci.org/mittagessen/kraken.svg
            :target: https://travis-ci.org/mittagessen/kraken
        
        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 and character bounding boxes in hOCR ✓
          - Tests
          - Removal of runtime dependency on gcc ✓
          - `clstm <https://github.com/tmbdev/clstm>`_ compatibility ✓
        
        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
        
        If ``clstm`` support is desired (highly recommended) the associated python
        extension has to be build and installed.
        
        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 get default
        
        Quickstart
        ==========
        
        Recognizing text on an image using the default parameters including the
        prerequisite steps of binarization and page segmentation:
        
        ::
        
          $ kraken -i image.tif image.txt
        
        To binarize a single image using the nlbin algorithm:
        
        ::
        
          $ kraken -i image.tif bw.tif binarize
        
        To segment a binarized image into reading-order sorted lines:
        
        ::
        
          $ kraken -i bw.tif lines.txt segment bw.png
        
        To OCR a binarized image using the default RNN and the previously generated
        page segmentation:
        
        ::
        
          $ kraken -i bw.tif image.txt ocr --lines lines.txt
        
        Documentation
        =============
        
        Have a look at the `documentation <http://kraken.re>`_
        
        
Keywords: ocr
ocropus
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
