基于形状分割的手写汉字笔划提取方法

笔迹鉴别的目的是区分不同的书写者,而笔划提取是笔迹鉴别的基础。本文提出了一种用于笔迹鉴别的手写汉字笔划提取算法,该算法定义了凹凸点与四种基本笔划相交类型的对应关系,通过字符图像轮廓上的凹凸点检测来确定笔划相交区域和相交类型;接着,在各个相交区域上,根据其笔划相交类型进行形状分割;最后,用对笔划轮廓两侧对应点进行跟踪的方法来进行细化。我们将该算法与基于细化和基于段化的笔划提取算法进行比较,实验结果表明,该提取算法具有比较高的准确率和有效性,因此本文提出的基于形状分割的手写汉字笔划提取方法具有较高的可操作性和实用价值。

A Method for Extracting the Handwritten Chinese Strokes Based on Shape Decomposition

Stroke extraction is the preprocessing step of the writer identification which is aimed at distinguishing between different writers.This paper presents an algorithm for the handwritten character stroke extraction of writer identification.The corresponding relationship between the discontinuous points of contours and junction regions of strokes is defined.All junction regions and the junction types are determined by the detection of the convex and concave discontinuous points in the contours of character images,and the junction regions are decomposed as their junction types.Strokes are thinned by the method of the following contour,finally.The experimental results show that the proposed method is effective and accurate compared to the methods based on thinning and segmenting techniques.Therefore,the method for extracting the handwritten chinese strokes based on shape decomposition in this paper features high operational ability and is practical.