Digital identification code the first step: Training Network. The use of training samples for training. (This process may or may not be training, because I have trained network parameters saved, and readers can be directly used to identify) the second step: Identify. First, open the image (256 colors) once again, for normalized. Click on the " one-off deal with" Finally, click " R" or use the menu to find the corresponding items of identification to identify the results showed on the screen, but also output to a file Result.txt in the system' s recognition rate is generally 90％

Bp.h
ChildView.cpp
ChildView.h
DBpParamater.cpp
DBpParamater.h
DIBAPI.CPP
DIBAPI.H
DigitRec.aps
DigitRec.clw
DigitRec.cpp
DigitRec.dsp
DigitRec.dsw
DigitRec.h
DigitRec.ncb
DigitRec.opt
DigitRec.plg
DigitRec.rc
DigitRec.sln
DigitRec.vcproj
INPUT1.cpp
INPUT1.h
MainFrm.cpp
MainFrm.h
mydiblib.h
ReadMe.txt
Resource.h
StdAfx.cpp
StdAfx.h
使用说明.txt

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