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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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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# 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

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