%0 Journal Article
%T A Method for Handwritten Chinese Stroke Extraction Based on Ambiguous-zone Detection<br>基于模糊区域检测的手写汉字笔画提取方法
%A CAO Zhong-sheng
%A SU Zhe-wen
%A WANG Yuan-zhen
%A XIONG Peng
%A <br>曹忠升
%A 苏哲文
%A 王元珍
%A 熊鹏
%J 中国图象图形学报
%D 2009
%I 
%X To effectively identify and interpret ambiguous zones in handwritten Chinese image,a new method for handwritten stroke extraction based on ambiguous-zone detection is proposed.In the method,a candidate set of fork points are extracted using a thinning algorithm,and the ambiguous zones are detected according to the fork points and the contour beside them.Then,the sub-strokes and ambiguous zones can be modeled with a graph,and a Bayesian classifier is built to analyze the continuity of sub-stroke pairs.Finally,sequences of sub-stroke are achieved by searching paths in the graph,and thinned strokes can be retrieved by B-spline interpolation.Experimental results show that the proposed method is effective and accurate for both ambiguous-zone detection and stroke extraction compared to other methods and reduce the shape distortions in ambiguous zones to an acceptable level.
%K stroke extraction
%K ambiguous zone
%K thinning algorithm
%K writing sequence<br>笔画提取
%K 模糊区域
%K 细化算法
%K 书写序列
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=9F4CE19704434DEAB9BD49C91950A3EC&yid=DE12191FBD62783C&vid=F3583C8E78166B9E&iid=708DD6B15D2464E8&sid=D0293DFC566BF929&eid=4EAACFFC5E13724F&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=16