A note on computational intelligence methods in biometrics
by Qinghan Xiao
International Journal of Biometrics (IJBM), Vol. 4, No. 2, 2012

Abstract: The research field of biometrics encompasses a wide range of disciplines such as signal processing, pattern recognition, classification, and decision making. Although various biometric algorithms are proposed, tested, reviewed and implemented every year, challenges still remain because of the existence of, among other issues, background noise, signal distortion, biometric template aging, and measurement environment variations. Computational intelligence, primarily based on artificial intelligence, artificial neural networks, fuzzy systems, and evolutionary computation, provides a powerful tool to deal with various important and pressing challenges in biometrics. This paper investigates state of the art computational intelligence techniques to deal with biometric problems that traditional techniques have found limited success.

Online publication date: Sat, 29-Nov-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biometrics (IJBM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com