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

Last update: Dec 30, 2022

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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:

Go to the directory with source code
Make directory for build:

    mkdir build

Run cmake:

    cmake ..

Run make:

    make

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Comments

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

GitHub

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