Although a source license plate recognition accuracy is not too high but still a good reference contains some image preprocessing algorithms and neural network algorithm in license plate location are needed to improve the transition points based positioning plates

车牌识别\BpNet.cpp
........\BpNet.h
........\Debug\PlateIdentify.exe
........\DigitClass.cpp
........\DigitClass.h
........\img\liao1.bmp
........\...\result.txt
........\...\teget_num.txt
........\...\test_set.txt
........\...\train_num.txt
........\MainFrm.cpp
........\MainFrm.h
........\myimg.cpp
........\myimg.h
........\PlateIdentify.aps
........\PlateIdentify.cpp
........\PlateIdentify.h
........\PlateIdentify.ncb
........\PlateIdentify.rc
........\PlateIdentify.sln
........\PlateIdentify.suo
........\PlateIdentify.vcproj
........\PlateIdentify.vcproj.windwild-PC.windwild.user
........\PlateIdentifyDoc.cpp
........\PlateIdentifyDoc.h
........\PlateIdentifyView.cpp
........\PlateIdentifyView.h
........\ReadMe.txt
........\res\PlateIdentify.ico
........\...\PlateIdentify.rc2
........\...\PlateIdentifyDoc.ico
........\...\Toolbar.bmp
........\Resource.h
........\stdafx.cpp
........\stdafx.h
........\说明.txt
........\Debug
........\img
........\res
车牌识别

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