%0 Journal Article
%T Handwriting-based writer identification with complex wavelet transform<br>基于复小波的脱线手写体笔迹鉴别
%A YANG Wei-bin
%A FANG Bin
%A SHANG Zhao-wei
%A XU Da-yuan
%A <br>杨维斌
%A 房斌
%A 尚赵伟
%A 徐大园
%J 计算机应用
%D 2009
%I 
%X A challenging problem of off-line text-independent writer identification is that plenty of dynamic writing information with the handwriting images can not be extracted as writing features, this results in high error rate in off-line writer identification. In order to enhance the performance of off-line writer identification, a complex wavelet-based Generalized Gaussian Distribution (GGD) method was proposed. Compared with the traditional wavelet-based GGD method, the novel method is more efficient on texture extraction due to its time-invariant features and good directional analysis. Experimental results show that the proposed method achieves a better performance of writer identification.
%K 小渡变换
%K 复小波
%K 广义高斯模型
%K KL距离
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=0802E547F3B8D28A21274FE11FFA8952&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=B31275AF3241DB2D&sid=EB4751E019AF0441&eid=0D4B5ACF7B6A1D2C&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=8