%0 Journal Article
%T Study on tangent distance with SVD method for characters recognition fine classification<br>切线距离的SVD方法在汉字识别细分问题中的研究
%A YANG Yi-ming
%A TONG Xue-feng
%A SHI Jian-yong
%A MENG Xiao-rong
%A <br>杨一鸣
%A 童学锋
%A 施建永
%A 孟晓榕
%J 计算机应用
%D 2007
%I 
%X The tangent distance with SVD method was applied to large-set offline hand-written Chinese characters' fine classification since the traditional Euclidean distance is sensitive to the hand-written characters' shape transformation.Experiment indicates that this method has better recognition accuracy and proves the efficiency of the tangent distance classifier.
%K hand-written chinese characters recognition
%K tangent distance
%K fine classification
%K feature extract<br>手写体汉字识别
%K 切线距离
%K 细分类
%K 特征提取
%K 切线距离
%K 向量方法
%K 脱机手写体汉字识别
%K 细分类
%K 问题
%K 研究
%K classification
%K fine
%K characters
%K recognition
%K method
%K distance
%K tangent
%K 通用性
%K 切线向量
%K 验证
%K 结果
%K 大字符集
%K 应用
%K 选取
%K 分解
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=C55A96C7E801AAE6BE5BE569D4930EF5&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=94C357A881DFC066&sid=82A2BA02DFB40363&eid=EC37857E7CB2811A&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=7