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Adaptive User Agents for Intelligent Biometric Applications

Mavity, Nick and Deravi, Farzin and Fairhurst, Michael (2004) Adaptive User Agents for Intelligent Biometric Applications. In: Applications and Science in Soft Computing. Advances in Soft Computing . Springer, Berlin, Germany, pp. 109-113. ISBN 978-3-540-40856-7. E-ISBN 978-3-540-45240-9. (doi:10.1007/978-3-540-45240-9_44) (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/10.1007/978-3-540-45240-9_44

Abstract

Interest in biometric systems for identity authentication has been growing in recent years. The strengths of biometric systems are well known [2], however, the success of any biometric system is measured ultimately by its usability and user acceptance. Serious obstacles to wider adoption of biometric systems include user interface issues that result in significant failure to enroll and failure to verify rates. Poor templates and template aging are important factors that need to be addressed by any biometric system developer.

Item Type: Book section
DOI/Identification number: 10.1007/978-3-540-45240-9_44
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: Yiqing Liang
Date Deposited: 05 Aug 2009 08:37 UTC
Last Modified: 01 Aug 2019 10:30 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/7229 (The current URI for this page, for reference purposes)
Deravi, Farzin: https://orcid.org/0000-0003-0885-437X
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