%0 Journal Article
%T Segmentation of Numeral Strings Based on Fuzzy Features<br>一种基于模糊规则的手写体粘连数字串分割
%A DING Jie
%A YANG Jing-yu
%A <br>丁杰
%A 杨静宇
%J 中国图象图形学报
%D 2009
%I 
%X Numeral strings segmentation plays a significant role in the OCR systems.In many applications,numeral strings are filled in preprinted form frames.This makes,the segmentation problem easier.Other wise,the segmentation is difficult.A new segment method for handwritten numeral strings is proposed.Principal curves are selected to extract strokes of characters.The strokes in the initial group are disposed of by the fuzzy features and grouped based on the confidence of the classifiers.On the database composed of 3 000 bank checks with touching digits in 363 checks,the proposed algorithm has been evaluated qualitatively and quantitatively with an the accurate rate of 89.68%.
%K principal curve
%K fuzzy feature
%K segmentation of numeral strings
%K stroke grouping<br>主曲线
%K 模糊特征
%K 数字串分割
%K 笔画组合
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=9FCD82E1888569689FA207AA53014B8F&yid=DE12191FBD62783C&vid=F3583C8E78166B9E&iid=708DD6B15D2464E8&sid=5763D6FC76EC3C43&eid=516C537CEEC0FAC3&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=13