Introduction - If you have any usage issues, please Google them yourself
plates positioning and identification system will first color image into a 256 grayscale image, Then Edge Detection and morphology, and so on to achieve positioning, and then neural network method Character Recognition.
Packet : 97288412carplaterec.rar filelist
PlateReco\car.bmp
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.ncb
PlateReco\PlateReco.opt
PlateReco\PlateReco.plg
PlateReco\PlateReco.rc
PlateReco\PlateRecoDoc.cpp
PlateReco\PlateRecoDoc.h
PlateReco\PlateRecoView.cpp
PlateReco\PlateRecoView.h
PlateReco\ReadMe.txt
PlateReco\resource.h
PlateReco\StdAfx.cpp
PlateReco\StdAfx.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\识别数据_16段映射.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