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Multibiometrics for Face Recognition

Veldhuis, Raymond, Deravi, Farzin, Tao, Qian (2008) Multibiometrics for Face Recognition. IT-Sicherheit & Datenschutz, 32 (3). pp. 204-214. ISSN 1614-0702 (Print) 1862-2607 (Online). (doi:10.1007/s11623-008-0033-8) (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:15670)

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/10.1007/s11623-008-0033-8

Abstract

Fusion is a popular practice to combine multiple sources of biometric information to achieve systems with greater performance and flexibility. In this paper various approaches to fusion within a multibiometrics context are considered and an application to the fusion of 2D and 3D face information is discussed. An optimal method for fusing the accept/reject decisions of individual biometric sources by means of simple logical rules is presented. Experimental results on the FRGC 2D and 3D face data show that the proposed technique performs effectively without the need for score normalization.

Item Type: Article
DOI/Identification number: 10.1007/s11623-008-0033-8
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1653 Human face recognition
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: J. Harries
Date Deposited: 20 Apr 2009 14:05 UTC
Last Modified: 16 Nov 2021 09:53 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/15670 (The current URI for this page, for reference purposes)

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