https://github.com/mauvilsa/imgtxtenh

Tool for enhancing noisy scanned text images
https://github.com/mauvilsa/imgtxtenh

Last synced: 3 months ago
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Tool for enhancing noisy scanned text images

• Host: GitHub
• URL: https://github.com/mauvilsa/imgtxtenh
• Owner: mauvilsa
• License: mit
• Created: 2016-10-03T10:40:59.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2019-12-10T05:57:16.000Z (about 5 years ago)
• Last Synced: 2024-10-24T21:22:53.710Z (3 months ago)
• Language: C
• Size: 32.2 KB
• Stars: 48
• Watchers: 8
• Forks: 14
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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• awesome-transformer-ocr - imgtxtenh - Tool for enhancing noisy scanned text images (Code Collection)

README

        

# NAME

imgtxtenh - Tool for enhancing noisy scanned text images

# DESCRIPTION

The function of 'imgtxtenh' is to clean/enhance noisy scanned text images,

which could be printed or handwritten text. It takes as input an image and

generates as output another image of the same size. It supports all the

input/output image formats that the linked ImageMagick library supports.

Currently only two techniques are implemented, which are the method of Sauvola

[1], and a simple modification [2] of the method of Sauvola that generates a

grayscale image instead of binary foreground-background decisions. For

explanation of the usage, execute:

    ./imgtxtenh -h

# USAGE REQUIREMENT

If this software is used in research, any publication resulting from it is

required to cite the reference [2] below.

# COMPILATION

The procedure for compiling is:

    cmake -DCMAKE_BUILD_TYPE=Release ..

    make

# REFERENCES

[1] Sauvola, J. and Pietikainen, M. Adaptive document image

    binarization. Pattern Recognition, 33(2):225–236, 2000.

[2] M. Villegas, V. Romero, and J. A. Sánchez. On the Modification of

    Binarization Algorithms to Retain Grayscale Information for

    Handwritten Text Recognition. In IbPria 2015.

# COPYRIGHT

The MIT License (MIT)

Copyright (c) 2012-present, Mauricio Villegas 

Permission is hereby granted, free of charge, to any person obtaining a copy

of this software and associated documentation files (the "Software"), to deal

in the Software without restriction, including without limitation the rights

to use, copy, modify, merge, publish, distribute, sublicense, and/or sell

copies of the Software, and to permit persons to whom the Software is

furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all

copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR

IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,

FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE

AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER

LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,

OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE

SOFTWARE.