作者: 阿凯
1Z实验室出品 Make Things Easy
很多计算机视觉的教程,或者是机器学习的教程, 手写数字识别往往被用来当作第一个项目讲解。
但是往往大家采用的都是现成的数据集,例如MINST
。 而事实上,在整个项目中,最复杂最困难的就是自己采集样本, 使用OpenCV对样本进行数据预处理,采用现成的数据集,巧妙的避开了这个学习机会。
所以本套教程主要侧重的是对手写数字样本的采集与预处理部分, 主要包括图像透视变换,二值化,联通阈检索,字符分割。
This project forked from 1zlab/1zlab_opencv_handwriting
OpenCV手写字体识别专题教程主要侧重的是对手写数字样本的采集与预处理部分, 主要包括图像透视变换,二值化,联通阈检索,字符分割。
License: GNU General Public License v3.0
作者: 阿凯
1Z实验室出品 Make Things Easy
很多计算机视觉的教程,或者是机器学习的教程, 手写数字识别往往被用来当作第一个项目讲解。
但是往往大家采用的都是现成的数据集,例如MINST
。 而事实上,在整个项目中,最复杂最困难的就是自己采集样本, 使用OpenCV对样本进行数据预处理,采用现成的数据集,巧妙的避开了这个学习机会。
所以本套教程主要侧重的是对手写数字样本的采集与预处理部分, 主要包括图像透视变换,二值化,联通阈检索,字符分割。
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