汉字笔段形成规律及其提取方法

该文从点阵图像行(列)连通像素段出发，研究汉字图像的笔段构成，发现汉字点阵图像仅由阶梯型笔段和平行长笔段两种类型的笔段构成，并归纳出阶梯型笔段和平行长笔段的形成规律．以笔段形成规律为基础提出了汉字笔段的提取方法，该方法将像素级汉字图像转变为以笔段为单位的图像，有利于汉字识别、汉字细化及汉字字体的自动生成．最后该文给出了印刷体和手写体汉字笔段提取的实验结果．

The Formation and Extraction of Chinese Character Sub-Strokes

In this paper, a novel method of sub stroke extraction based on the formation law of sub strokes for Chinese character recognition is presented. From the view of connected pixel segments on the rows (columns) of the image, we find out that the sub strokes from a Chinese character image fall into two categories: ladder sub stroke and parallel long sub stroke. The formation law of these two kinds of sub strokes is induced from positional relations between connected pixel segments on the rows (columns), and consequently the sub stroke extraction algorithm is developed. The ladder sub strokes and parallel long sub strokes in the algorithm are extracted one by one from Chinese character image according to their formation law, and then the extracted sub strokes are merged, thinned and adjusted to get the final results. Experimental results for several fonts of printed Chinese characters and handwritten Chinese characters show that the proposed method is effective and robust.