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

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	924-934
Number of pages	11
Journal	IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Volume	39
Issue number	4
DOIs	https://doi.org/10.1109/TSMCB.2008.2009770
Publication status	Published - 1 Jan 2009
Externally published	Yes

Keywords

Degraded iris images
Gabor phase
iris verification
local- and global-correlation-based method

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10.1109/TSMCB.2008.2009770

Cite this

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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.",

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AU - Krichen, Emine

AU - Garcia-Salicetti, Sonia

AU - Dorizzi, Bernadette

AU - Krichen, Emine

PY - 2009/1/1

Y1 - 2009/1/1

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.

AB - 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.

KW - Degraded iris images

KW - Gabor phase

KW - iris verification

KW - local- and global-correlation-based method

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SN - 1083-4419

VL - 39

SP - 924

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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

Abstract

Keywords

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