%0 Journal Article
%T Text extraction algorithm based on binary clustering<br>基于二值化聚类的图像文字提取算法
%A DAI Wei
%A ZHANG Shen-sheng
%A <br>戴维
%A 张申生
%J 计算机应用
%D 2009
%I 
%X To deal with the gradient problem in the clustering process of text extraction, an algorithm based on binary clustering was proposed. The original image was converted to binary bitmap after preprocessing. The background blocks of the image were clustered by the region features, and then text blocks were recognized by the distribution features. The experiment shows this method achieves satisfactory result on various kinds of images.
%K clustering analysis
%K image segments
%K text extraction<br>聚类分析
%K 图像分割
%K 文字提取
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=6791A84ADB07C0AC63821F69B86EA30E&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=CA4FD0336C81A37A&sid=11B4E5CC8CDD3201&eid=C6DE6BB3AA6A45B0&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=13