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1zlab_opencv_handwriting's Introduction

手写数字识别主题课程-1Z实验室

作者: 阿凯

1Z实验室出品 Make Things Easy

导言

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

目录

利用机器学习进行手写字体识别的过程解析

01number_minarearect_canvas2.png

寻找A4纸所在的四边形区域与变形

img-02.png

A4纸区域的图像二值化与数字提取

img-03.png

通过柱状统计进行字符分割

img-04.png

CFS字符分割

img-05.png

传统滴水算法-字符分割

06滴水算法.png

KNN最近邻算法

07knn_result-20180318.png

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