Fuzzy logic adapted controller system for biometrical identification in highly-secured critical infrastructures

Abstract

In this paper I presented an algorithm which could be used as a controller technique for access systems in highly-secured environments. Highly-secured environments like critical infrastructures have to count less significant but more effective risks, which may lead to a fatal effect in the society. More stringent regulations involve more reliable access systems, which use mostly multimodal biometrical identification. Soft-computing techniques, especially fuzzy logic is suitable as a controller algorithm in a multimodal biometrical identification system. To highlight the advantages of this method, I modeled a comparison between the statistical mean value calculation and the fuzzy logic adapted controller.