1. Situation awareness of cancelable biometric system
- Author
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Stanislav Klimenko, Marina L. Gavrilova, and Padma Polash Paul
- Subjects
Biometrics ,Situation awareness ,business.industry ,Computer science ,Random projection ,Data_MISCELLANEOUS ,Pattern recognition ,Context (language use) ,Computer Graphics and Computer-Aided Design ,Computer graphics ,Transformation (function) ,Feature (computer vision) ,Computer Science::Computer Vision and Pattern Recognition ,Face (geometry) ,Computer Vision and Pattern Recognition ,Artificial intelligence ,business ,Software ,Computer Science::Cryptography and Security - Abstract
Recently, cancelable biometrics emerged as one of the highly effective methods of template protection. The concept behind the cancelable biometrics or cancelability 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 applications. 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 biometric traits. We further validate the performance of the proposed algorithm using a virtual multimodal face and ear database.
- Published
- 2013