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A review of information fusion techniques employed in iris recognition systems

Radu, Petru, Sirlantzis, Konstantinos, Howells, Gareth, Deravi, Farzin, Hoque, Sanaul (2013) A review of information fusion techniques employed in iris recognition systems. International Journal of Advanced Intelligence Paradigms, 4 (3/4). pp. 211-240. ISSN 1755-0386. E-ISSN 1755-0394. (doi:10.1504/IJAIP.2012.052067) (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/10.1504/IJAIP.2012.052067

Abstract

Iris recognition has shown to be one of the most reliable biometric authentication methods. The majority of iris recognition systems which have been developed require a constrained environment to enrol and recognise the user. If the user is not cooperative or the capture environment changes then the accuracy of the iris recognition system may decrease significantly. To minimise the effect of such limitations, possible solutions include the use of multiple channels of information such as using both eyes or extracting more iris feature types and subsequently employing an efficient fusion method. In this paper, we present a review of iris recognition systems using information from multiple sources that are fused in different ways or at different levels. A categorisation of the iris recognition systems incorporating multiple classifier systems is also presented. As a new desirable dimension of a biometric system, besides those proposed in the literature, the mobility of such a system is introduced in this work. The review charts the path towards greater flexibility and robustness of iris recognition systems through the use of information fusion techniques and points towards further developments in the future leading to mobile and ubiquitous deployment of such systems.

Item Type: Article
DOI/Identification number: 10.1504/IJAIP.2012.052067
Uncontrolled keywords: iris recognition; information fusion; multibiometrics; multiple classifier systems; MCS; biometrics; mobile deployment; ubiquitous deployment
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Sanaul Hoque
Date Deposited: 26 Nov 2017 11:51 UTC
Last Modified: 01 Aug 2019 10:42 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/64740 (The current URI for this page, for reference purposes)
Deravi, Farzin: https://orcid.org/0000-0003-0885-437X
Hoque, Sanaul: https://orcid.org/0000-0001-8627-3429
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