Handwritting digit recognition

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基于最小错误率和Fisher线性分类器的QT/C++手写字符识别系统

QT/C++ implement of Handwritting digit recognition using minimum error rate bayes & Fisher linear classifier

Support input

• Hand write(By mouse)
• Video(USB driverless camera)

Enviroment

• PC:WIN10 64bit
• IDE:Visual Studio 15
• COMPLIER:msvc2015_64
• QT:QT5.9.3
• OpenCV:3.4.0

File structure

• HandWriting.sln: project of VS2015
• HandWriting:src dir
  • data dir:training data
  • Algo.cpp:Algorithm source
  • Algo.h:Algorithm header
  • debug.log:debug output file
  • HandWriting.cpp:QT framework source
  • HandWriting.h:QT framework header
  • HandWriting.ui:QT GUI file
  • main.cpp:QT enter point of main process
• Fisher:
  • fisher.py:fisher linear classifier in python