Application of Fuzzy Rule-based Systems and ICA in Image Recognition

被引：0
|
作者：
Liu, Fei [1 ]
机构：
[1] Lianyungang Tech Coll, Lianyungang 222006, Jiangsu, Peoples R China
来源：
2015 SSR International Conference on Social Sciences and Information (SSR-SSI 2015), Pt 2 | 2015年 / 11卷
关键词：
Support Vector Machines; Fuzzy Rules; Fuzzy System; Face Recognition; Independent Component Analysis;
D O I：
暂无
中图分类号：
C [社会科学总论];
学科分类号：
03 ; 0303 ;
摘要：
In this paper, the author made use of fuzzy rules in fuzzy systems and the relationship between functions within the SVM, through SVM training data for learning, determined fuzzy rules from supporting vector to construct a rule-based fuzzy classifier. Meanwhile, the author did independent component analysis on the human face images and extracted independent component conducive to main facial features of classification. The fuzzy systems Experimental results on ORL face database show that the method is also suitable to solve classification problems of small sample, nonlinear, high dimensional pattern.
引用
收藏
页码：697 / 701
页数：5
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