Description: 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％
File list (Check if you may need any files):
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
Download