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Combining multiagent negotiation and an interacting verification process to enhance biometric-based identification

Abreu, Márjory and Fairhurst, Michael (2011) Combining multiagent negotiation and an interacting verification process to enhance biometric-based identification. In: Biometrics and ID Management COST 2101 European Workshop. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 95-105. ISBN 978-3-642-19529-7. E-ISBN 978-3-642-19530-3. (doi:10.1007/978-3-642-19530-3_9) (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)

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.org/10.1007/978-3-642-19530-3_9

Abstract

Designing a biometrics-based system poses many challenges, such as how many and which modalities to use (multimodal configurations being widely adopted), which classification methods are appropriate, user acceptability issues, and so on. Machine learning techniques need as much information as possible to maximise accuracy, but biometric samples are not necessarily straightforward to acquire and usability factors can be very influential. This paper presents a new recognition structure for biometric systems design, using an agent-based approach which maximises the value of the available information. Using handwritten signature as an illustrative modality, we present results which show that carefully structured unimodal systems can deliver excellent performance.

Item Type: Book section
DOI/Identification number: 10.1007/978-3-642-19530-3_9
Uncontrolled keywords: multiagent system; negotiation process; machine learning technique; forgery detection; identity prediction
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Tina Thompson
Date Deposited: 30 Oct 2013 16:36 UTC
Last Modified: 15 Oct 2019 14:39 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35846 (The current URI for this page, for reference purposes)
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