da Costa-Abreu, Marjory, Fairhurst, Michael (2009) Analyzing the Benefits of a Novel Multiagent Approach in a Multimodal Biometrics Identification Task. IEEE Systems Journal, 3 (4). pp. 410-417. (doi:http://dx.doi.10.1109/JSYST.2009.2035978) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:26004)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication) | |
Official URL http://dx.doi.10.1109/JSYST.2009.2035978 |
Abstract
Many approaches to the implementation of biometrics-
the merits of using multimodal structures, and we investigate how fundamentally different strategies for implementation can increase the degree of choice available in achieving particular performance criteria. In particular, we illustrate the merits of an implementation
based on a multiagent computational architecture as a means of achieving high performance levels when recognition accuracy is a principal criterion. We also set out the relative merits of this strategy in comparison with other commonly adopted approaches to practical system realization. In particular we propose and evaluate a novel approach to implementation of a multimodal system based on negotiating agents.
Item Type: | Article |
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DOI/Identification number: | http://dx.doi.10.1109/JSYST.2009.2035978 |
Uncontrolled keywords: | Fingerprint biometrics, Hand geometry biometrics, Multiagent systems, Multiclassifiers, Multimodal biometrics, Negotiation, Optimization, Signature biometrics |
Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7882.B56 Biometric identification |
Divisions: | Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering |
Depositing User: | J. Harries |
Date Deposited: | 01 Nov 2010 11:57 UTC |
Last Modified: | 28 May 2019 15:51 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/26004 (The current URI for this page, for reference purposes) |
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