A Survey of Multibiometric Systems

TL;DR

This survey reviews multibiometric systems, highlighting their advantages over unimodal systems in addressing issues like noise, variability, and spoofing by combining multiple biometric sources.

Contribution

It provides a comprehensive overview of multibiometric systems, discussing their benefits and the challenges they address compared to unimodal systems.

Findings

Multibiometric systems improve reliability over unimodal systems.

They effectively handle noise and intra-class variations.

Multibiometric systems are more resistant to spoof attacks.

Abstract

Most biometric systems deployed in real-world applications are unimodal. Using unimodal biometric systems have to contend with a variety of problems such as: Noise in sensed data; Intra-class variations; Inter-class similarities; Non-universality; Spoof attacks. These problems have addressed by using multibiometric systems, which expected to be more reliable due to the presence of multiple, independent pieces of evidence.