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Title of Journal: J Sign Process Syst

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Abbravation: Journal of Signal Processing Systems

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Springer US

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DOI

10.1002/andp.18060240914

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1939-8115

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Biometricoriented Iris Identification Based on Ma

Authors: Joaquim de Mira Hugo Vieira Neto Eduardo B Neves Fábio K Schneider
Publish Date: 2013/11/14
Volume: 80, Issue: 2, Pages: 181-195
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Abstract

A new method for biometric identification of human irises is proposed in this paper The method is based on morphological image processing for the identification of unique skeletons of iris structures which are then used for feature extraction In this approach local iris features are represented by the most stable nodes branches and endpoints extracted from the identified skeletons Assessment of the proposed method was done using subsets of images from the University of Bath Iris Image Database 1000 images and the CASIA Iris Image Database 500 images Compelling experimental results demonstrate the viability of using the proposed morphological approach for iris recognition when compared to a stateoftheart algorithm that uses a global feature extraction approach

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