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Intelligent Management of Multimodal Biometric Transactions

Fairhurst, Michael and Deravi, Farzin and Mavity, Nick and George, J. and Sirlantzis, Konstantinos (2003) Intelligent Management of Multimodal Biometric Transactions. In: Knowledge-Based Intelligent Information and Engineering Systems 7th International Conference. Lecture Notes in Artificial Intelligence, 2 . Springer, Berlin, Germany, pp. 1255-1260. ISBN 978-3-540-40804-8. E-ISBN 978-3-540-45226-3. (doi:10.1007/978-3-540-45226-3_170) (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/10.1007/978-3-540-45226-3_170

Abstract

Multimodal biometric systems provide both increased reliability and greater flexibility to users, yet also increase the degree of complexity in implementation and system management, especially where access permissions, security levels, data categorizations and user characteristics show a high degree of diversity. Also, sources of unreliability in biometric authentication are often traceable to problems of enrolment, and especially to poor data acquisition, and hence introducing a greater degree of monitoring and increasing intelligent user guidance at the system interface can make a significant impact on the overall performance of an identity authentication system, especially in a multimodal scenario. This paper illustrates some of these problems in practice and outlines an implementation framework which reconciles the need to support more effective interaction mechanisms with the wider problems of managing the complexity of data flow which arises in such systems.

Item Type: Book section
DOI/Identification number: 10.1007/978-3-540-45226-3_170
Uncontrolled keywords: Utility Score, Biometric System, Intelligent Management, Adaptive User, Biometric Modality
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: Konstantinos Sirlantzis
Date Deposited: 29 Jun 2011 14:02 UTC
Last Modified: 01 Aug 2019 10:30 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/7599 (The current URI for this page, for reference purposes)
Deravi, Farzin: https://orcid.org/0000-0003-0885-437X
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