New active contours approach and phase wavelet maxima to improve iris recognition system

Nabti, Makram and Bouridane, Ahmed (2013) New active contours approach and phase wavelet maxima to improve iris recognition system. In: Visual Information Processing (EUVIP), 2013 4th European Workshop on. IEEE, Piscataway, NJ, pp. 238-244. ISBN 978-1479901012

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Due to the randomness of iris patterns, iris recognition systems are the most accurate, reliable and efficient way to recognize and identify people. However, the complex structure of an iris image results in the difficulty of iris representation especially for iris images of insufficient quality. In this paper we propose a new active contours models applied to segment iris images based on active contours without edges to localize the pupil and GVF snake combined with Wavelet maxima multiscale edge detection to localize the outer iris boundary, after normalization step using Daugman method (homogeneous rubber sheet model) a new technique for feature extraction based on phase wavelet maxima is used to extract iris features, evaluation tests with Casia v3 database confirmed the efficiency of the proposed methods for iris segmentation and feature extraction, The experimental results have shown that the proposed system could be used for personal identification in an efficient and effective manner (accuracy over 99%) and comparable to the best existing iris recognition systems.

Item Type: Book Section
Uncontrolled Keywords: active contours, multiscale edge detection, phase wavelet maxima
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Becky Skoyles
Date Deposited: 20 Jan 2015 10:32
Last Modified: 12 Oct 2019 22:29

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