A multi-modal multi-paradigm agent-based approach to desig scalable distributed biometric systems

This paper presents an innovative approach to design advanced biometric systems for person identification, recognition and monitoring, with high level of privacy. The original aspect consists of a modular, structured design approach at system level, based on the use of distributed systems, multi-agent architectures, multiple computing paradigms, and adaptable/evolvable techniques, which allow for achieving a scalable structure in terms of biometric algorithms, identification quality, sensors, database complexity, database integration, and component heterogenity. Our goal is to face the specific application by using a flexible design strategy based on a systematic comprehensive view, by focusing on global optimization, adaptivity and evolvability. Advantages of the proposed approach are accuracy, confidence, scalability, opportunities for parallel processing, high performance, interoperability, fault tolerance, service continuity, biometric techniques updating, usability, and components privacy. These characteristics can be very useful for governmental agencies, enterprises, banks and all other organizations that need to protect people or control access to critical resources.