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PKG-INFO
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Metadata-Version: 1.1
Name: TesseractTrainer
Version: 0.1.1
Summary: A small framework taking over the manual tesseract training process described in the Tesseract Wiki
Home-page: https://github.com/BaltoRouberol/TesseractTrainer
Author: Balthazar Rouberol
Author-email: [email protected]
License: # FreeBSD license
Copyright (c) Mor Consulting (MorConsulting.com) by Balthazar Rouberol
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
The views and conclusions contained in the software and documentation are those
of the authors and should not be interpreted as representing official policies,
either expressed or implied, of the FreeBSD Project.
Description: TesseractTrainer
================
by Balthazar Rouberol - Mor Consulting, [email protected]
TesseractTrainer is a simple Python API, taking over the tedious process of manually training Tesseract3,
as described in the wiki page https://code.google.com/p/tesseract-ocr/wiki/TrainingTesseract3.
The longest part of the training process is checking the box file, generated by tesseract using a reference tif image,
as explained at https://code.google.com/p/tesseract-ocr/wiki/TrainingTesseract3#Make_Box_Files.
This file contains the coordinates of each character detected in the training tif. However, if Tesseract made some mistakes,
you have to manually correct the boxfile, allowing Tesseract to "learn" from its mistakes.
TesseractTrainer allows you to skip this part, by automatically generating a tif (and the associated boxfile) using a text
and a font that you specify, thus guaranteeing the total accuracy of the box file.
TesseractTrainer intends to provide both a python API and a bash command line tool.
Keywords: tesseract,OCR,optical character recogniton,training
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Recognition