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Enhancing Identity Prediction Using a Novel Approach to Combining Biometric and Soft-Biometric Information

Fairhurst, Michael, da Costa-Abreu, Marjory (2010) Enhancing Identity Prediction Using a Novel Approach to Combining Biometric and Soft-Biometric Information. IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, 41 (5). pp. 599-607. ISSN 1094-6977. (doi:10.1109/TSMCC.2010.2056920) (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:27475)

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.
Official URL:
http://dx.doi.org/10.1109/TSMCC.2010.2056920

Abstract

The effectiveness with which individual identity can

be predicted in, for example, an antiterrorist scenario can benefit

from seeking a broad base of identity evidence. The issue of improving

performance can be addressed in a number of ways, but system

configurations based on integrating different information sources

(often involving more than one biometric modality) are a widely

adopted means of achieving this. This paper presents a new approach

to improving identification performance, where both direct

biometric samples and “soft-biometric” knowledge are combined.

Specifically, however, we propose a strategy based on an intelligent

agent-based decision-making process, which predicts both absolute

identity and also other individual characteristics from biometric

samples, as a basis for a more refined and enhanced overall identification

decision based on flexible negotiation among class-related

agents.

Item Type: Article
DOI/Identification number: 10.1109/TSMCC.2010.2056920
Uncontrolled keywords: Agent, face, fingerprint, fusion, identity prediction, soft-biometric prediction (age and gender)
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7882.B56 Biometric identification
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: J. Harries
Date Deposited: 11 Mar 2011 12:26 UTC
Last Modified: 16 Nov 2021 10:05 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/27475 (The current URI for this page, for reference purposes)

University of Kent Author Information

Fairhurst, Michael.

Creator's ORCID:
CReDIT Contributor Roles:

da Costa-Abreu, Marjory.

Creator's ORCID:
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