文件名称:2.source_code
介绍说明－－下载内容均来自于网络，请自行研究使用
基于决策树的手写字符识别，动态识别输入的笔画顺序，位置等，类似于在线字符识别，具有较高的准确率。可以在QT打开。-handwriting charactor recognition based on random forests.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
2.source_code\handwriting\CharacterClassifier.txt
.............\...........\data.txt
.............\...........\qt5hw\Finger.h
.............\...........\.....\MachineLearning.cpp
.............\...........\.....\MachineLearning.h
.............\...........\.....\main.cpp
.............\...........\.....\mainwindow.cpp
.............\...........\.....\mainwindow.h
.............\...........\.....\mainwindow.ui
.............\...........\.....\qt5hw.pro
.............\...........\.....\qt5hw.pro.user
.............\...........\.....\stdafx.cpp
.............\...........\.....\stdafx.h
.............\...........\readme.docx
.............\...........\ui_mainwindow.h
.............\...........\vc100.pdb
.............\...........\WritingRule\img001.JPG
.............\...........\...........\sld001.htm
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.............\photo_OCR(additional)\end-to-end-system\Debug\OCR0101.exe
.............\.....................\.................\.....\OCR0101.ilk
.............\.....................\.................\.....\OCR0101.pdb
.............\.....................\.................\ipch\ocr0101-b95a15c1\ocr0101-8f2fcd2.ipch
.............\.....................\.................\OCR0101\Candidate.h
.............\.....................\.................\.......\CharacterClassifier
.............\.....................\.................\.......\Debug\CL.read.1.tlog
.............\.....................\.................\.......\.....\CL.write.1.tlog
.............\.....................\.................\.......\.....\Fmeasure.obj
.............\.....................\.................\.......\.....\GetCandidate.obj