Analyzing the Benefits of a Novel Multiagent Approach in a Multimodal Biometrics Identification Task

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)

Abstract

Many approaches to the implementation of biometrics- based identification systems are possible, and different configurations are likely to generate significantly different operational characteristics. The choice of implementational structure is therefore very dependent on the performance criteria which are most important in any particular task scenario. In this paper we evaluate 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
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 (see also: telecommunications) > TK7880 Applications of electronics (inc industrial & domestic) > TK7882.B56 Biometrics
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)