%0 Journal Article
%T Design of multiple features and multilayer classifiers for handwritten character recognition<br>手写混合字符集识别的多特征多级分类器设计
%A WU Li-yun
%A WANG Wen-wei
%A ZHANG Ping
%A CHENG Jun
%A <br>吴丽芸
%A 王文伟
%A 张平
%A 陈俊
%J 计算机应用
%D 2005
%I 
%X A novel method for the recognition of commonly used handwritten Chinese characters in bank and digits was presented. Considering diverse classification requirements, different features were selected, an integration of clustering and Multi-layer Pereeptron neural networks was utilized. The experiment demonstrates that the proposed approach is promising.
%K handwritten character recognition
%K feature selection
%K multilayer classifiers<br>手写体字符识别
%K 特征选取
%K 多级分类器
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=DA9F877DE46B1717&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=59906B3B2830C2C5&sid=EE8AB80B3B3CC3AC&eid=7D33EEDEE08FED67&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=9