Chapter 29

Effective finger vein-based authentication

Kernel principal component analysis

S. Damavandinejadmonfared; V. Varadharajan    Department of Computing, Advanced Cyber Security Research Centre, Macquarie University, Sydney, New South Wales, Australia

Abstract

Kernel functions have been very useful in data classification for the purpose of identification and verification so far. Applying such mappings first and using some methods on the mapped data such as principal component analysis (PCA) has been proven novel in many different areas. A lot of improvements have been proposed on PCA, such as kernel PCA, and kernel entropy component analysis, which are known as very novel and reliable methods in face recognition and data classification. ...

Get Emerging Trends in Image Processing, Computer Vision and Pattern Recognition now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.