By Topic

Study of Different Fusion Techniques for Multimodal Biometric Authentication

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Rodriguez, L.P. ; Univ. Carlos III de Madrid, Madrid ; Crespo, A.G. ; Lara, M. ; Mezcua, B.R.

This article gathers the studies and experiments carried out by the authors orientated to the combination of three unimodal systems into a single multimodal system. The fusion strategy used has been the so-called "score fusion" using different algorithms, among them "neural networks" and "support vector machines", etc. All of the experiments have been carried out from the same group of data obtained as a result of the execution of the processes of three unimodal verification systems on three independent biometrical databases. Results show the great improvement that fusion can generate when unimodal results are not good enough.

Published in:

Networking and Communications, 2008. WIMOB '08. IEEE International Conference on Wireless and Mobile Computing,

Date of Conference:

12-14 Oct. 2008