1. First open a picture and then follow the sequence of grayscale, binary, grayscale stretching, license plate positioning, binarization, tilt correction, character segmentation, training neural network, recognition characters. 2. The test image is stored under the current directory img. 3. The test set, training set and target vector are stored in the text file under img.

plateidentify
plateidentify\BpNet.cpp
plateidentify\BpNet.h
plateidentify\Debug
plateidentify\Debug\PlateIdentify.exe
plateidentify\DigitClass.cpp
plateidentify\DigitClass.h
plateidentify\img
plateidentify\img\liao1.bmp
plateidentify\img\result.txt
plateidentify\img\teget_num.txt
plateidentify\img\test_set.txt
plateidentify\img\train_num.txt
plateidentify\MainFrm.cpp
plateidentify\MainFrm.h
plateidentify\myimg.cpp
plateidentify\myimg.h
plateidentify\PlateIdentify.aps
plateidentify\PlateIdentify.cpp
plateidentify\PlateIdentify.h
plateidentify\PlateIdentify.rc
plateidentify\PlateIdentify.sln
plateidentify\PlateIdentify.vcproj
plateidentify\PlateIdentifyDoc.cpp
plateidentify\PlateIdentifyDoc.h
plateidentify\PlateIdentifyView.cpp
plateidentify\PlateIdentifyView.h
plateidentify\ReadMe.txt
plateidentify\res
plateidentify\Resource.h
plateidentify\res\PlateIdentify.ico
plateidentify\res\PlateIdentify.rc2
plateidentify\res\PlateIdentifyDoc.ico
plateidentify\res\Toolbar.bmp
plateidentify\stdafx.cpp
plateidentify\stdafx.h
plateidentify\说明.txt

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