%0 Journal Article
%T Table Recognition Based on CNN and Grid Feature<br>基于细胞神经网络和网格特征的碑刻文字识别
%A GUO Fang-Yuan
%A LI Guo-Dong
%A <br>国方媛
%A 李国东
%J 计算机系统应用
%D 2010
%I 
%X As a carrier of the text, the table has very important historical and artistic value. However, because of a long time, a lot of noises on the rubbings have impact on recognizing text. This paper proposes a new method for this case. Firstly, remove the noises of a single table using CNN technology. And then recognize the table using the grid feature extraction method. The simulation example is based on MATLAB software, and we achieve good results.
%K CNN
%K grid feature
%K 2D median filter
%K table
%K text recognition<br>细胞神经网络
%K 网格特征
%K 二维中值滤波
%K 碑刻
%K 文字识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=C0B3FEDBE8404F39135350BB469F35F9&yid=140ECF96957D60B2&vid=2A8D03AD8076A2E3&iid=708DD6B15D2464E8&sid=F1A8654ADB4E656E&eid=798FBE8DE1A255B1&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=8