%0 Journal Article
%T Skew detection for complex document image based on blank bar directional fitting<br>基于空白条方向拟合的复杂文本图像倾斜检测
%A XIE Feng-ying
%A JIANG Zhi-guo
%A WANG Lei
%A <br>谢凤英
%A 姜志国
%A 汪雷
%J 计算机应用
%D 2006
%I 
%X An efficient skew detection algorithm was proposed for complex document image containing figure or form contents.The algorithm included three steps: Firstly,the text sub-region was selected adaptively according to the feature that the edges contained in text regions was stronger than those in non-text regions;Secondly,the blank bars between two text lines were extracted by blank blocks searching;Thirdly,the skew angle of blank bar was calculated by directional fitting,and this skew angle was just the document skew angle.The experiment results show that this algorithm is insensitive to the circumstances such as scan background,document layout and line spacing,and the skew angle can be detected rapidly and accurately.
%K complex document image
%K skew detection
%K feature sub-region
%K statistics analysis<br>复杂文本图像
%K 倾斜检测
%K 特征子区域
%K 统计分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=AC8C482D2A8DEAC1&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=DF92D298D3FF1E6E&sid=82A5E8FEB95AD18E&eid=87A9A510C01DA8C7&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=12