Introduction - If you have any usage issues, please Google them yourself
digital identification code first step : training network. Use of training samples for training. (These procedures also can not training because I have trained network parameters saved, Readers can direct identification) second step : identification. First, open the Image (256 colors) again, to a treatment. Click on the "one-stop" Finally, Click on the "R" or use the menu item corresponding to find the identification of the identification results on the screen, also result.txt output to a file which the system's recognition rate of 90% for the other, can be individually opened to the step-by-step pictures for image preprocessing work. But we know that each step of implementation can work again, but according to the implementation of the order. Steps : "256-colo
Packet : 115157688digital-recognise.rar filelist
数字识别系统源代码\数字识别系统源代码\DigitRec.dsw
数字识别系统源代码\数字识别系统源代码\DIBAPI.H
数字识别系统源代码\数字识别系统源代码\DigitRec.clw
数字识别系统源代码\数字识别系统源代码\ReadMe.txt
数字识别系统源代码\数字识别系统源代码\DigitRec.h
数字识别系统源代码\数字识别系统源代码\StdAfx.h
数字识别系统源代码\数字识别系统源代码\StdAfx.cpp
数字识别系统源代码\数字识别系统源代码\MainFrm.cpp
数字识别系统源代码\数字识别系统源代码\mydiblib.h
数字识别系统源代码\数字识别系统源代码\DBpParamater.h
数字识别系统源代码\数字识别系统源代码\DBpParamater.cpp
数字识别系统源代码\数字识别系统源代码\INPUT1.h
数字识别系统源代码\数字识别系统源代码\INPUT1.cpp
数字识别系统源代码\数字识别系统源代码\DigitRec.cpp
数字识别系统源代码\数字识别系统源代码\DigitRec.rc
数字识别系统源代码\数字识别系统源代码\使用说明.txt
数字识别系统源代码\数字识别系统源代码\Resource.h
数字识别系统源代码\数字识别系统源代码\DigitRec.aps
数字识别系统源代码\数字识别系统源代码\MainFrm.h
数字识别系统源代码\数字识别系统源代码\DigitRec.dsp
数字识别系统源代码\数字识别系统源代码\Bp.h
数字识别系统源代码\数字识别系统源代码\DIBAPI.CPP
数字识别系统源代码\数字识别系统源代码\ChildView.h
数字识别系统源代码\数字识别系统源代码\ChildView.cpp
数字识别系统源代码\数字识别系统源代码\res\DigitRec.rc2
数字识别系统源代码\数字识别系统源代码\res\Toolbar.bmp
数字识别系统源代码\数字识别系统源代码\res\DigitRec.ico
数字识别系统源代码\数字识别系统源代码\res
数字识别系统源代码\数字识别系统源代码\Release
数字识别系统源代码\数字识别系统源代码
数字识别系统源代码