# Handwritting digit recognition
----------
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
毕业设计项目：基于最小错误率和Fisher线性分类器的QT&C++实现手写字符识别系统.zip
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2023-10-21
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毕业设计项目：基于最小错误率和Fisher线性分类器的QT&C++实现手写字符识别系统.zip （214个子文件） 
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