On Combining Information from Both Eyes to Cope with Motion Blur in Iris Recognition

Radu, Petru and Sirlantzis, Konstantinos and Howells, Gareth and Hoque, Sanaul and Deravi, Farzin (2010) On Combining Information from Both Eyes to Cope with Motion Blur in Iris Recognition. In: 4th International Workshop on Soft Computing, 15-17 July 2010, Arad, Romania. (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)

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Iris Recognition has emerged as one of the best biometric authentication techniques in recent years. However, a significant drawback of this biometric modality is the constrained environment in which the user is enrolled and recognized. It typically requires the user to be very cooperative for good quality images to be captured. If this limitation could be effectively addressed, it would be possible to employ iris recognition in environments where images incorporating increased noise and distortions were present whilst maintaining high recognition accuracy. In the present paper, we explore how the effect of image distortions caused by motion blur may be significantly reduced by using iris information from both eyes of the user.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Image motion analysis, Iris recognition, Biometric authentication technique, Biometric modality, High recognition accuracy, Image distortions, Motion blur
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: 04 Oct 2010 15:58
Last Modified: 23 May 2014 09:26
Resource URI: https://kar.kent.ac.uk/id/eprint/25712 (The current URI for this page, for reference purposes)
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