Pre-Recognize Library - library with algorithms for improving OCR quality.

Related tags

Computer Vision PRLib
Overview

PRLib - Pre-Recognition Library.

The main aim of the library - prepare image for recogntion. Image processing can really help to improve recognition quality.

Features:

  • Binarization (Global Otsu, Sauvola, Niblack, Adaptive)
  • Deskew
  • Denoise (Non-local Means Denoising algorithm)
  • Thinning (Zhang-Suen, Guo-Hall)
  • Blur detection (LAPM, LAPV, TENG, GLVN)
  • Deblur (Gaussian-based)
  • White balance (Simple, Grayworld)
  • Border detection (Canny-based)
  • Removing perspective warp
  • Crop

Dependencies: OpenCV + OpenCV contrib, Leptonica.

How to build:

  1. Go to the directory with source code
  2. Make directory for build:
    mkdir build
  1. Run cmake:
    cmake ..
  1. Run make:
    make
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Comments
  • Fix a warning

    Fix a warning 

    [ 12%] Building CXX object CMakeFiles/prlib.dir/src/BlurDetection.cpp.o
$HOME/Devel/MATHS/PRLib/src/BlurDetection.cpp: In function ‘bool prl::isBlurred(const cv::Mat&, prl::BlurDetectionAlgo)’:
$HOME/Devel/MATHS/PRLib/src/BlurDetection.cpp:97:1: warning: control reaches end of non-void function [-Wreturn-type]
   97 | }

    The warning is caused by nothing is returned once the right algo is found. I'd suggest to return false when no algo is found, thus a false value returned will help top detect a problem. And the warning will automaticaly vanish at build time, what cannot be bad :-)

    Feel free to accept (or not) this little change under MIT license, (or whatever you need).

    Thanks again for sharing your code !

    With best regards, Eric Bachard

    opened by ebachard 0
Owner
Alex
Alex
GitHub
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