%0 Journal Article
%T Paper sheet defects classification based on support vector machine method<br>基于支持向量机的纸张缺陷图像分类识别
%A YUAN Hao
%A FU Zhong-liang
%A CHENG Jian
%A RUAN Bo
%A <br>袁浩
%A 付忠良
%A 程建
%A 阮波
%J 计算机应用
%D 2008
%I 
%X We proposed a paper sheet defects classification method based on SVM according to its good performance in small data sets and high dimension feature spaces. To classify three common defects of the paper sheet, we firstly preprocessed the defect images, then carefully selected the input features for training the SVM-based classifiers, and optimized the parameters and the classifiers by the cross-validation method. The results prove that SVM is practical in paper sheet defects classification and identification.
%K Support Vector Machine(SVM)
%K paper sheet defect
%K classification and recognition
%K feature selection<br>支持向量机
%K 纸张缺陷
%K 分类识别
%K 特征选择
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=C426DAFEB7D06D4D188895546EDA28B4&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=0B39A22176CE99FB&sid=6C069F4B248105A5&eid=BD69035801ADD523&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=9