A New Phase-Correlation-Based Iris Matching for Degraded Images

Emine Krichen; Sonia Garcia-Salicetti; Bernadette Dorizzi; Emine Krichen

doi:10.1109/TSMCB.2008.2009770

A New Phase-Correlation-Based Iris Matching for Degraded Images

Emine Krichen
, Sonia Garcia-Salicetti
, Bernadette Dorizzi
, Emine Krichen

CNRS SAMOVAR UMR 5157
Computational Solid Mechanics

Résultats de recherche: Contribution à un journal › Article › Revue par des pairs

Résumé

In this paper, we present a new phase-correlation- based iris matching approach in order to deal with degradations in iris images due to unconstrained acquisition procedures. Our matching system is a fusion of global and local Gabor phase-correlation schemes. The main originality of our local approach is that we do not only consider the correlation peak amplitudes but also their locations in different regions of the images. Results on several degraded databases, namely, the CASIA-BIOSECURE and Iris Challenge Evaluation 2005 databases, show the improvement of our method compared to two available reference systems, Masek and Open Source for Iris (OSRIS), in verification mode.

langue originale	Anglais
Pages (de - à)	924-934
Nombre de pages	11
journal	IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Volume	39
Numéro de publication	4
Les DOIs	https://doi.org/10.1109/TSMCB.2008.2009770
état	Publié - 1 janv. 2009
Modification externe	Oui

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10.1109/TSMCB.2008.2009770

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title = "A New Phase-Correlation-Based Iris Matching for Degraded Images",

abstract = "In this paper, we present a new phase-correlation- based iris matching approach in order to deal with degradations in iris images due to unconstrained acquisition procedures. Our matching system is a fusion of global and local Gabor phase-correlation schemes. The main originality of our local approach is that we do not only consider the correlation peak amplitudes but also their locations in different regions of the images. Results on several degraded databases, namely, the CASIA-BIOSECURE and Iris Challenge Evaluation 2005 databases, show the improvement of our method compared to two available reference systems, Masek and Open Source for Iris (OSRIS), in verification mode.",

keywords = "Degraded iris images, Gabor phase, iris verification, local- and global-correlation-based method",

author = "Emine Krichen and Sonia Garcia-Salicetti and Bernadette Dorizzi and Emine Krichen",

year = "2009",

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AU - Krichen, Emine

AU - Garcia-Salicetti, Sonia

AU - Dorizzi, Bernadette

AU - Krichen, Emine

PY - 2009/1/1

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N2 - In this paper, we present a new phase-correlation- based iris matching approach in order to deal with degradations in iris images due to unconstrained acquisition procedures. Our matching system is a fusion of global and local Gabor phase-correlation schemes. The main originality of our local approach is that we do not only consider the correlation peak amplitudes but also their locations in different regions of the images. Results on several degraded databases, namely, the CASIA-BIOSECURE and Iris Challenge Evaluation 2005 databases, show the improvement of our method compared to two available reference systems, Masek and Open Source for Iris (OSRIS), in verification mode.

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KW - Degraded iris images

KW - Gabor phase

KW - iris verification

KW - local- and global-correlation-based method

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SN - 1083-4419

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JO - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

JF - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

IS - 4

ER -

A New Phase-Correlation-Based Iris Matching for Degraded Images

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