An improved iris recognition system using feature extraction based on wavelet maxima moment invariants

Nabti, Makram and Bouridane, Ahmed (2007) An improved iris recognition system using feature extraction based on wavelet maxima moment invariants. In: Advances in Biometrics. Lecture Notes in Computer Science, 4642 . Springer, London, pp. 988-996. ISBN 978-3540745488

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Official URL: http://dx.doi.org/10.1007/978-3-540-74549-5_103

Abstract

Human recognition technology based on biometrics has received increasing attention over the past decade. Iris recognition is considered to be the most reliable biometric authentication system and is becoming the most promising technique for high security. In this paper, we propose a multiscale approach for iris localization by using wavelet modulus maxima for edge detection, a fast and a compact method for iris feature extraction based on wavelet maxima components and moment invariants. The features are represented as feature vector, thus allowing us to also propose a fast matching scheme based on exclusive OR operation. Experimental results have shown that the performance of the proposed method is very encouraging and comparable to the well known methods used for iris texture analysis.

Item Type: Book Section
Additional Information: Proceedings of the ICB 2007:International Conference, Seoul, Korea, August 27-29, 2007.
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Sarah Howells
Date Deposited: 21 Nov 2012 13:32
Last Modified: 10 Nov 2016 12:40
URI: http://nrl.northumbria.ac.uk/id/eprint/10348

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