Situation Awareness through Multimodal Biometric Template Security in Real-Time Environments

Abstract

Cancelable biometric technique is one of the most effective methods of template protection. Essentially, the crucial security aspect of a biometric system is template protection. The concept behind the cancelable biometric or cancel ability is a transformation of a biometric data or extracted feature into an alternative form, which cannot be used by the imposter or intruder easily, and can be revoked if compromised. In this paper, we present a novel architecture for template generation in the context of situation awareness system in real and virtual application. We develop a novel cancelable biometric template generation algorithm utilizing random biometric fusion, random projection and selection. Proposed random cross-folding method generate cancelable biometric template from multiple bio-metric traits. We further validate the performance of the pro-posed algorithm using a virtual multimodal face and ear data-base.