An Application of FCM Cluster in Hand-written Numeral Recognition Based on Zernike Moment

摘要：

This article first used four steps of the compatible examination,the diversity examination,the relevant examination and the principal components analyzes to screen the handwritten digit Zernike moment,then we make use of the Fuzzy C-Mean cluster recognition of the hand-written numerals based on the screened Zernike moment.The example testified this method effective,and provides the theory basis for further establishment of the hand-written numeral recognition standard library.In this process,we have also discovered two reasons which cause the Fuzzy C-Mean cluster to be unefficient.

关键词： Zernike moment FCM cluster handwritten numeral recognition

作者: Xiaojun Tong Shan Zeng Qin Jiang Kai Zhao

作者单位: Department of Mathematics and Physics,Wuhan Polytechnic University,Wuhan 430023,China Department of Department of Mathematics and Physics,Wuhan Polytechnic niversity,Wuhan 430023,China Department of Mathematics and Physics,Wuhan Polytechnic University,Wuhan 430023,China

会议类型: 国际会议

会议名称: 2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)

会议地点: 大连

会议语种:英文

页码: 448-454

在线出版日期: 2008-07-27（万方平台首次上网日期，不代表论文的发表时间）