Distributed Face Recognition: A Multiagent Approach

Research output: A Conference proceeding or a Chapter in BookConference contribution

5 Citations (Scopus)

Abstract

In this paper we present an application of agent technology to the problem of face recognition. With a new composite model consisting of multiple layers, the system can achieve high performance in terms of robustness and recognition in complex visual environmental conditions. The robustness of the complex face recognition system is enhanced due to integration with agent based paradigm, with more than 95% accuracy achieved under illumination, pose and expression variations of faces in images with multiple faces, and background objects. The results of preliminary findings are promising, suggesting further investigations in intelligent agent methodology for multimodal biometrics using fusion of face, gait, gesture, and voice biometric traits to person identity recognition problem in distributed scenarios such as video surveillance, health informatics, and crime investigation applications
Original languageEnglish
Title of host publication10th International Conference, KES 2006. Knowledge-Based Intelligent Information and Engineering Systems.
EditorsB Gabrys, R.J Howlett, L.C Jain
Place of PublicationGermany
PublisherSpringer
Pages1168-1175
Number of pages8
ISBN (Electronic)9783540465447
ISBN (Print)9783540465423
DOIs
Publication statusPublished - 2006
EventKES2006 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems - Bournemouth, United Kingdom
Duration: 9 Oct 200611 Oct 2006

Conference

ConferenceKES2006 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems
CountryUnited Kingdom
CityBournemouth
Period9/10/0611/10/06

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Chetty, G., & Sharma, D. (2006). Distributed Face Recognition: A Multiagent Approach. In B. Gabrys, R. J. Howlett, & L. C. Jain (Eds.), 10th International Conference, KES 2006. Knowledge-Based Intelligent Information and Engineering Systems. (pp. 1168-1175). Germany: Springer. https://doi.org/10.1007/11893011_148