This procedure used c++ As a platform to realize the handle plate, combined with neural network method to identify good efficiency, it is worth a try.

Packet : 73462677reco.rar filelist
PlateReco\ChildFrm.cpp
PlateReco\ChildFrm.h
PlateReco\Dibapi.cpp
PlateReco\Dibapi.h
PlateReco\DlgBinary.cpp
PlateReco\DlgBinary.h
PlateReco\DlgRecoResult.cpp
PlateReco\DlgRecoResult.h
PlateReco\GlobalFunction.cpp
PlateReco\GlobalFunction.h
PlateReco\MainFrm.cpp
PlateReco\MainFrm.h
PlateReco\PlateReco.aps
PlateReco\PlateReco.clw
PlateReco\PlateReco.cpp
PlateReco\PlateReco.dsp
PlateReco\PlateReco.dsw
PlateReco\PlateReco.h
PlateReco\PlateReco.plg
PlateReco\PlateReco.rc
PlateReco\PlateRecoDoc.cpp
PlateReco\PlateRecoDoc.h
PlateReco\PlateRecoView.cpp
PlateReco\PlateRecoView.h
PlateReco\ReadMe.txt
PlateReco\StdAfx.cpp
PlateReco\StdAfx.h
PlateReco\car.bmp
PlateReco\resource.h
PlateReco\训练数据_16段投影字母.txt
PlateReco\训练数据_16段投影数字.txt
PlateReco\输出层权值_16段投影字母.txt
PlateReco\输出层权值_16段投影数字.txt
PlateReco\隐层权值_16段投影字母.txt
PlateReco\隐层权值_16段投影数字.txt
PlateReco\识别数据_16段映射.txt
PlateReco\clear.bat
PlateReco\PlateReco.ncb
PlateReco\Debug
PlateReco\res\PlateReco.ico
PlateReco\res\PlateReco.rc2
PlateReco\res\PlateRecoDoc.ico
PlateReco\res\Toolbar.bmp
PlateReco\res
PlateReco\PlateReco.opt
PlateReco

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