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Handwritten numeral recognition of the template matching method
  • Classification:Other classes - other source code
  • Development Tool:VC
  • Sise:2.16 MB
  • Upload time:2009/12/5 23:52:48
  • Uploader:lantianhen
  • Download Statistics:
Description
Pattern Recognition: Handwritten numeral recognition template matching method


DigitRecog.ico

File list:
手写数字识别之模板匹配法
...........\Debug
...........\.....\AddSampleDlg.obj
...........\.....\backprop.obj
...........\.....\CqOctree.obj
...........\.....\Dib.obj
...........\.....\Dibapi.obj
...........\.....\DigitClass.obj
...........\.....\DigitRecog.exe
...........\.....\DigitRecog.ilk
...........\.....\DigitRecog.obj
...........\.....\DigitRecog.pdb
...........\.....\DigitRecog.res
...........\.....\DigitRecogDlg.obj
...........\.....\IP.obj
...........\.....\StdAfx.obj
...........\.....\Thinner.obj
...........\.....\vc60.idb
...........\.....\vc60.pdb
...........\res
...........\...\DigitRecog.ico
DigitRecog.ico
...........\...\DigitRecog.rc2
...........\AddSampleDlg.cpp
...........\AddSampleDlg.h
...........\backprop.cpp
...........\backprop.h
...........\CqOctree.cpp
...........\Dib.cpp
...........\Dib.h
...........\Dibapi.cpp
...........\DIBAPI.H
...........\DigitClass.cpp
...........\DigitClass.h
...........\DigitRecog.aps
...........\DigitRecog.clw
...........\DigitRecog.cpp
...........\DigitRecog.dsp
...........\DigitRecog.dsw
...........\DigitRecog.h
...........\DigitRecog.ncb
...........\DigitRecog.opt
...........\DigitRecog.plg
...........\DigitRecog.rc
...........\DigitRecogDlg.cpp
...........\DigitRecogDlg.h
...........\IP.CPP
...........\ReadMe.txt
...........\resource.h
...........\StdAfx.cpp
...........\StdAfx.h
...........\Thinner.cpp
...........\Thinner.h
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Related source code
[Handwritten-Recognition-using-Neural...] - Handwritten Recognition using Neural Networks Based on Multiple Feature Extraction Algorithms
[Handwritten_Characters_Extraction_fr...] - A simple and effective approach to extract handwritten characters, including digits and letters of any language from data filled boxes of data entry form and to deal with cases of overlaps between the handwritten characters and boxes’ lines based on line shape characteristicby detecting and removing the vertical and horizontal straight boxes’ lines
[Handwriting number recognition] - Dynamic handwriting number recognition source.
[HandWritingRecognition] - recognition of handwriting that implement with matlab and neutral network.
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