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基于结构聚类和笔画分析的粘连手写汉字切分
引用本文:李小园,杨芳,张望博.基于结构聚类和笔画分析的粘连手写汉字切分[J].计算机工程与应用,2008,44(34):163-165.
作者姓名:李小园  杨芳  张望博
作者单位:河北大学,数学与计算机学院,河北,保定,071000
基金项目:河北大学自然科学基金资助项目
摘    要:粘连手写汉字的切分是手写汉字切分中亟待解决的问题之一。因此,针对粘连手写汉字提出一种新的切分算法。该算法首先通过寻找分界线的方法来提取粘连笔段,分界线的位置是通过粘连汉字骨架图像的聚类和笔段端点类属可信度的信息来确定的。然后提取粘连笔段并对其进行分析和类型(直线或曲线)判定,从而确定切分点及切分方向。最后利用背景细化算法找到分割曲线。该算法不仅能够很好地适用于两个粘连汉字宽窄不一、含有多个粘连点等粘连情况,而且具有良好的抗噪声效果。

关 键 词:手写汉字粘连切分  k-均值聚类  最小二乘法
收稿时间:2008-7-29
修稿时间:2008-9-25  

Segmentation of connected handwritten Chinese characters based on structure cluster and strokes analysis
LI Xiao-yuan,YANG Fang,ZHANG Wang-bo.Segmentation of connected handwritten Chinese characters based on structure cluster and strokes analysis[J].Computer Engineering and Applications,2008,44(34):163-165.
Authors:LI Xiao-yuan  YANG Fang  ZHANG Wang-bo
Affiliation:College of Mathematics &; Computer Science,Hebei University,Baoding,Hebei 071000,China
Abstract:The segmentation of off-line handwritten Chinese characters adhesion is one of the issues to be resolved.Therefore,a new segmentation algorithm is proposed in this paper for the adhesion of handwritten Chinese characters.The algorithm first look-ing for the dividing line to extract adhesion stroke.And then extracting the adhesion stroke to analyze and determine its type(straight line or curve),determine adhesion points and cut direction.Finally,using background thinning algorithm to find out the segmentation curve.This algorithm is not only applicable to the conditions of two Chinese characters width varies with adhesive,contains many adhesion points but also has a good anti-noise effect.
Keywords:handwritten Chinese characters adhesion segmentation  k-means clustering  least squares
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