Information Fusion for Unconstrained Iris Recognition

Radu, Petru and Sirlantzis, Konstantinos and Howells, Gareth and Hoque, Sanaul and Deravi, Farzin (2011) Information Fusion for Unconstrained Iris Recognition. International Journal of Hybrid Information Technology, 4 (4). pp. 1-12. ISSN 1738-9968. (The full text of this publication is not available from this repository)

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Abstract

The majority of the iris recognition algorithms available in the literature were developed to operate on near infrared images. A desirable feature of iris recognition systems with reduced constraints such as potential operability on commonly available hardware is to work with images acquired under visible wavelength. Unlike in near infrared images, in colour iris images the pigment melanin present in the iris tissue causes the appearance of reflections, which are one of the major noise factors present in colour iris images. In this paper we present an iris recognition system which is able to cope with noisy colour iris images by employing score level fusion between different channels of the iris image. The robustness of the proposed approach is tested on three colour iris images datasets, ranging from images captured with professional cameras in both constrained environment and less cooperative scenario, and finally to iris images acquired with a mobile phone.

Item Type: Article
Uncontrolled keywords: Unconstrained iris recognition, visible spectrum iris images, information fusion
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 > Science Technology and Medical Studies > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: J. Harries
Date Deposited: 02 Nov 2011 12:27
Last Modified: 23 May 2014 09:22
Resource URI: http://kar.kent.ac.uk/id/eprint/28334 (The current URI for this page, for reference purposes)
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