Kernel-based classifier for iris recognition

被引：0
|
作者：
Shao, Shuai [1 ]
Xie, Mei [1 ]
机构：
[1] Univ Elect Sci & Technol China, Inst Elect Engn, Chengdu 610054, Peoples R China
来源：
2006 8TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-4 | 2006年
基金：
中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Kernel-based nonlinear feature extraction and classification algorithms are a popular new research direction in machine learning and widely used in many fields. Firstly, we will give an overview of kernel Fisher discriminant analysis anti Support Vector Machine, and then the description of multi-class classification method applied for them. The performance of these two classification method is analyzed on CASIA II database.
引用
收藏
页码：2432 / +
页数：2
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