Kernel-based Classifier for Iris Recognition
Shuai Shao, Mei Hua Xie · 2006
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 and 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