Introduction - If you have any usage issues, please Google them yourself
digital identification system source code : the first step : training network. Training samples used for training the second step : identification. First, open the Image (256 colors); Again, a naturalization processing, click on "one-time"; Finally, Click on the "R" or use the menu item corresponding to find identification. The results show identification on the screen, but also the output to a file which result.txt. The system's recognition rate under normal circumstances 90%. Alternatively, you could open a separate pair of step-by-step photographs for image preprocessing work, but bearing in mind that each step can only be implemented again, but according to the implementation of the order. Specific steps : "256-color bitmap to grayscale"- "graysc
Packet : 13898361digitrec.rar filelist
数字识别系统源代码\Bp.h
数字识别系统源代码\ChildView.cpp
数字识别系统源代码\ChildView.h
数字识别系统源代码\DBpParamater.cpp
数字识别系统源代码\DBpParamater.h
数字识别系统源代码\DIBAPI.CPP
数字识别系统源代码\DIBAPI.H
数字识别系统源代码\DigitRec.aps
数字识别系统源代码\DigitRec.clw
数字识别系统源代码\DigitRec.cpp
数字识别系统源代码\DigitRec.dsp
数字识别系统源代码\DigitRec.dsw
数字识别系统源代码\DigitRec.h
数字识别系统源代码\DigitRec.rc
数字识别系统源代码\INPUT1.cpp
数字识别系统源代码\INPUT1.h
数字识别系统源代码\MainFrm.cpp
数字识别系统源代码\MainFrm.h
数字识别系统源代码\ReadMe.txt
数字识别系统源代码\Resource.h
数字识别系统源代码\StdAfx.cpp
数字识别系统源代码\StdAfx.h
数字识别系统源代码\mydiblib.h
数字识别系统源代码\使用说明.txt
数字识别系统源代码\res\DigitRec.ico
数字识别系统源代码\res\DigitRec.rc2
数字识别系统源代码\res\Toolbar.bmp
数字识别系统源代码\res
数字识别系统源代码\Release
数字识别系统源代码