A multi-modal multi-paradigm agent-based approach to design 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

[1]  Emile H. L. Aarts,et al.  On-line signature verification with hidden Markov models , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[2]  Sandeep K. S. Gupta,et al.  Biosec: a biometric based approach for securing communication in wireless networks of biosensors implanted in the human body , 2003, 2003 International Conference on Parallel Processing Workshops, 2003. Proceedings..

[3]  M. Gamassi,et al.  Accuracy and performance of biometric systems , 2004, Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510).

[4]  Mohand Boughanem,et al.  Multiple query evaluation based on an enhanced genetic algorithm , 2003, Inf. Process. Manag..

[5]  Minyi Guo,et al.  Parallel biometrics computing using mobile agents , 2003, 2003 International Conference on Parallel Processing, 2003. Proceedings..

[6]  W. Todd Scruggs,et al.  Fusing face and ECG for personal identification , 2003, 32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings..

[7]  M. Gamassi,et al.  A high-level optimum design methodology for multimodal biometric systems , 2004, Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, 2004. CIHSPS 2004..

[8]  Andrea Lagorio,et al.  Design of a vision system for identity verification , 1999, Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers.

[9]  Luc Vandendorpe,et al.  Image-based multimodal face authentication , 1998, Signal Process..