%0 Journal Article
%T Chinese characters recognition in natural scenes based on DPM<br>基于DPM的自然场景下汉字识别方法
%A ZHANG Wei-wei
%A TANG Guang-ming
%A SUN Yi-feng
%A LI Xiao-li
%A <br>张伟伟
%A 汤光明
%A 孙怡峰
%A 李晓利
%J 计算机应用研究
%D 2013
%I 
%X Chinese characters take on variable appearances in natural scenes, that makes some inevitable procedures in traditional detecting methods hard to carry on, such as the text location and text modification. In order to avoid such difficulties, this paper used DPM to detect Chinese characters in natural scenes. The method treated each character as an object class and trained the corresponding template. By using sliding windows, it traversed the detecting image to judge whether the image contained the target character. Experimental results show that the detecting effects of sole characters are satisfying and robust. As for the multi-stroke-characters, the effects aren't so obvious owing to the model's structural features.
%K 可变部件模型
%K 汉字识别
%K 隐支持向量机
%K 高斯金字塔模型
%K 滑动窗口
%K HOG描述子
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=523711B464E4FFDF5469F19DFD981255&yid=FF7AA908D58E97FA&vid=340AC2BF8E7AB4FD&iid=38B194292C032A66&sid=158793AD8125C377&eid=40700C9CB4E84E3B&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=13