Title :
Data fusion in biometrics
Author :
Faundez-Zanuy, Marcos
Author_Institution :
Universitaria Politecnica de Mataro, Barcelona
Abstract :
Any biometric system has drawbacks and cannot warranty 100% identification rates, nor 0% false acceptance and rejection ratios. One way to overcome the limitations is through a combination of different biometric systems. In addition, a multimodal biometric recognition is more difficult to fool than a single, biometric system, because it is more unlikely to defeat two or three biometric systems than one. This paper summarizes the different data fusion levels, and how it must be performed in order to improve the results of each combined system on its own
Keywords :
biometrics (access control); image recognition; sensor fusion; biometric systems; data fusion level; false acceptance; identification rate; multimodal biometric recognition; rejection ratio; Authentication; Biometrics; Collaboration; Data security; Databases; Environmental management; Fingerprint recognition; Geometry; Lighting; Warranties;
Journal_Title :
Aerospace and Electronic Systems Magazine, IEEE
DOI :
10.1109/MAES.2005.1396793
