NumberPlateRecognition.zip_源码

****************************************************************************** * Automatic Number Plate Recognition using SVM and Neural Networks ****************************************************************************** * by David Millán Escrivá, 5th Dec 2012 * http://blog.damiles.com ****************************************************************************** * Ch5 of the book "Mastering OpenCV with Practical Computer Vision Projects" * Copyright Packt Publishing 2012. * http://www.packtpub.com/cool-projects-with-opencv/book ****************************************************************************** This code is sample code to understand how automatic license plate recognition (ANPR) works. It is not for production tasks. You can use this code as a sample & guide to create your own custom ANPR or OCR applications. ---------------------------------------------------------- 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 2008" -D OpenCV_DIR=%OpenCV_DIR% .. start ANPR.sln ---------------------------------------------------------- Running the project: ---------------------------------------------------------- ANPR test/2715DTZ.jpg You can choose other images that are in the test folder or other images that contain a spanish license plate taken from 2 to 3 meters. There are also some UNIX Bash scripts in the "utils" folder for Linux or Mac, that need Cygwin to run on Windows.