GitHub - Ronnie-Leon76/Number_Plate_Recognition: Building a number plate recognition system with an SVM Classifier and a Multi-Layer Perceptron using OpenCV C++

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Building a number plate recognition system with an SVM Classifier and a Multi-Layer Perceptron using OpenCV C++

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
.vscode		.vscode
Kenyan_License_Plate_Images		Kenyan_License_Plate_Images
License_Plate_Training_Images		License_Plate_Training_Images
build		build
foreign_license_plates_test		foreign_license_plates_test
kenyan_license_plates_test		kenyan_license_plates_test
utils		utils
.gitignore		.gitignore
CMakeLists.txt		CMakeLists.txt
DetectRegions.cpp		DetectRegions.cpp
DetectRegions.h		DetectRegions.h
OCR.cpp		OCR.cpp
OCR.h		OCR.h
OCR.xml		OCR.xml
Plate.cpp		Plate.cpp
Plate.h		Plate.h
README.txt		README.txt
SVM.xml		SVM.xml
Use_Device_Camera		Use_Device_Camera
evalOCR.cpp		evalOCR.cpp
main.cpp		main.cpp
screenshot.png		screenshot.png
trainOCR.cpp		trainOCR.cpp
trainSVM.cpp		trainSVM.cpp

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******************************************************************************
*   Automatic Number Plate Recognition using SVM and Neural Networks
******************************************************************************
*   by Ronnie Leon Ochieng, 26th March 2024
******************************************************************************

----------------------------------------------------------
Building the project using CMake from the command-line:
----------------------------------------------------------
Linux:
    export OpenCV_DIR="~/OpenCV/build"
    mkdir build
    cd build
    cmake -D OpenCV_DIR=$OpenCV_DIR ..
    make 

MacOSX (Xcode):
    export OpenCV_DIR="~/OpenCV/build"
    mkdir build
    cd build
    cmake -G Xcode -D OpenCV_DIR=$OpenCV_DIR ..
    open ANPR.xcodeproj

Windows (MS Visual Studio):
    set OpenCV_DIR="C:\OpenCV\build"
    mkdir build
    cd build
    cmake -G "Visual Studio 9 2020" -D OpenCV_DIR=%OpenCV_DIR% ..
    start ANPR.sln 

    
----------------------------------------------------------
Running the project:
----------------------------------------------------------
    ./ANPR <image_filename>