handwriting recognition GUI
所属分类：模式识别(视觉/语音等)
开发工具：matlab
文件大小：193KB
下载次数：5
上传日期：2017-08-08 11:57:10
上 传 者：
洛克刘
说明： 本文主要实现手写数字识别，利用多类逻辑回归与神经网络两种方法实现,并编写有GUI界面。
(This paper mainly implements handwritten numeral recognition, using multiple logic regression and neural network to achieve two methods, and the preparation of a GUI interface.)
文件列表:
handwriting recognition GUI\chargui.fig (13859, 2011-05-20)
handwriting recognition GUI\chargui.m (7710, 2011-05-22)
handwriting recognition GUI\edu_imgcrop.m (680, 2011-05-22)
handwriting recognition GUI\edu_imgresize.m (383, 2011-05-22)
handwriting recognition GUI\IXT.txt (6825, 2011-05-22)
handwriting recognition GUI\IYT.txt (6762, 2011-05-22)
handwriting recognition GUI\MouseDraw.m (4619, 2011-05-22)
handwriting recognition GUI\net.mat (26501, 2011-05-22)
handwriting recognition GUI\train\char3.m (1278, 2011-05-22)
handwriting recognition GUI\train\data\1\0.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\1\1.bmp (259362, 2011-05-21)
handwriting recognition GUI\train\data\1\10.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\1\11.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\1\2.bmp (259362, 2011-05-21)
handwriting recognition GUI\train\data\1\3.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\1\4.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\1\5.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\1\6.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\1\7.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\1\8.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\1\9.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\10\0.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\10\1.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\10\2.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\10\3.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\10\4.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\10\5.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\10\6.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\10\7.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\10\8.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\10\9.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\2\0.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\2\1.bmp (259362, 2011-05-21)
handwriting recognition GUI\train\data\2\2.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\2\3.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\2\4.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\2\5.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\2\6.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\2\7.bmp (192038, 2011-05-21)
handwriting recognition GUI\train\data\2\8.bmp (192038, 2011-05-21)
... ...
1.运行chargui.m，点击“打开手写板”按钮开始手写，手写结束后点击右键，然后回到主界面依次点击“手写结束”、“预处理”、“特征提取”和“识别”按钮，得到识别结果。
2.在train目录下，char3.m是训练主程序，如果修改训练数据重新训练，请模仿目录data下的图片，添加进去，文件名必须从1开始累加，保证每个目录中的图片数目相等。然后在char3.m的第一行把numberoftrainingdata赋值为现在的训练数据个数，注意，这里指的是每个数字对应文件夹下的个数，而不是总的个数！
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