Definition
Agent-based biometric systems use the computational notion of intelligent autonomous agents that assist the users and act on their behalf to develop systems that intelligently facilitate biometrics-enabled transactions, giving them the ability to learn from the users and adapt to application needs, thus enhancing recognition performance and usability.
Introduction
The ultimate effectiveness and success of biometric systems to a large part is dependent on the user experience when interacting with such systems. It is therefore essential that issues of user interaction and experience are considered when designing biometric systems. As user behavior and expectations as well as application requirements and operating conditions can vary widely, it becomes important to consider how systems can be developed that can adapt and learn to provide the best possible performance in a dynamic setting.
Here the paradigm of intelligent software agents may be effectively utilized to design and...
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References
M. Wooldridge, N.R. Jennings, Intelligent agents: theory and practice. Knowl. Eng. Rev. 10(2), 115–152 (1995)
N.R. Jennings, K. Sycara, M. Wooldridge, A Roadmap of Agent Research and Development. Autonomous Agents and Multi-agent Systems, vol. 1 (Kluwer, Dordecht, 1998), pp. 275–306
S.S. Fatima, M. Wooldridge, N.R. Jennings, Multi-issue negotiation with deadlines. J. Artif. Intell. Res. 27, 381–417 (2006)
G. Weiß, Agent orientation in software engineering. Knowl. Eng. Rev. 16(4), 349–373 (2001)
A.K. Jain, S. Pankanti, S. Prabhakar, J. Hong, A. Ross, Biometrics: a grand challenge, in Proceedings of the 17th International Conference on Pattern Recognition (ICPR’04), Cambridge, vol. 2, 2004, pp. 935–942
A.A. Ross, K. Nandakumar, A.A. Jain, Handbook of Multibiometrics (Springer, New York, 2006)
C.C. Chibelushi, F. Deravi, J.S.D. Mason, Adaptive classifier integration for robust pattern recognition. IEEE Trans. Syst. Man Cybern. B Cybern. 29(6), 902–907 (1999)
K. Nandakumar, Y. Chen, A.K. Jain, S.C. Dass, Quality-based score level fusion in multibiometric systems, in Proceedings of the 18th International Conference on Pattern Recognition (ICPR’06), Hong Kong, vol. 4, 2006, pp. 473–476
F. Deravi, M.C. Fairhurst, R.M. Guest, N. Mavity, A.D.M. Canuto, Intelligent agents for the management of complexity in multimodal biometrics. Int. J. Univers. Access Inf. Soc. 2(4), 293–304 (2003)
ISO/IEC TR 24722:2007, Information technology – Biometrics – Multimodal and other multibiometric fusion (2007)
F. Zambonelli, N.R. Jennings, M. Wooldridge, Developing multiagent systems: the Gaia methodology. ACM Trans. Softw. Eng. Methodol. 12(3), 317–370 (2003)
B. Chaib-draa, F. Dignum, Trends in agent communication language. Comput. Intell. 18(2), 89–101 (2002)
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Deravi, F. (2015). Biometric Systems, Agent-Based. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_290
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DOI: https://doi.org/10.1007/978-1-4899-7488-4_290
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