Color iris recognition using quaternion phase correlation

Lahouari Ghouti; Fares S. Al-Qunaieer

doi:10.1109/BLISS.2009.20

Color iris recognition using quaternion phase correlation

Lahouari Ghouti^*
, Fares S. Al-Qunaieer

^*Corresponding author for this work

Department of Information and Computer Science

Research output: Contribution to conference › Paper › peer-review

8 Scopus citations

Abstract

In this paper, we propose a new algorithm for color iris recognition using quaternion phase correlation. The proposed scheme leads to new hypercomplex phase-based color iris recognition and matching method that is based on the joint modeling of the iris color components using the "holistic" representation provided by the quaternion representations. The efficiency of the proposed iris recognition method is characterized by greater accuracy and flexibility in capturing the color iris information. Using a database of 1877 color iris images, the experimental results indicate that the proposed method significantly improves iris recognition rates compared with traditional color approaches, while it enjoys a similar computational complexity.

Original language	English
Pages	20-25
Number of pages	6
DOIs	https://doi.org/10.1109/BLISS.2009.20
State	Published - 2009
Event	2009 International Symposium on Bio-inspired, Learning, and Intelligent Systems for Security, BLISS 2009 - Edinburgh, United Kingdom Duration: 20 Aug 2009 → 22 Aug 2009

Conference

Conference	2009 International Symposium on Bio-inspired, Learning, and Intelligent Systems for Security, BLISS 2009
Country/Territory	United Kingdom
City	Edinburgh
Period	20/08/09 → 22/08/09

ASJC Scopus subject areas

Artificial Intelligence
Information Systems
Software

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10.1109/BLISS.2009.20

Cite this

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title = "Color iris recognition using quaternion phase correlation",

abstract = "In this paper, we propose a new algorithm for color iris recognition using quaternion phase correlation. The proposed scheme leads to new hypercomplex phase-based color iris recognition and matching method that is based on the joint modeling of the iris color components using the {"}holistic{"} representation provided by the quaternion representations. The efficiency of the proposed iris recognition method is characterized by greater accuracy and flexibility in capturing the color iris information. Using a database of 1877 color iris images, the experimental results indicate that the proposed method significantly improves iris recognition rates compared with traditional color approaches, while it enjoys a similar computational complexity.",

author = "Lahouari Ghouti and Al-Qunaieer, \{Fares S.\}",

year = "2009",

doi = "10.1109/BLISS.2009.20",

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note = "2009 International Symposium on Bio-inspired, Learning, and Intelligent Systems for Security, BLISS 2009 ; Conference date: 20-08-2009 Through 22-08-2009",

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AU - Ghouti, Lahouari

AU - Al-Qunaieer, Fares S.

PY - 2009

Y1 - 2009

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AB - In this paper, we propose a new algorithm for color iris recognition using quaternion phase correlation. The proposed scheme leads to new hypercomplex phase-based color iris recognition and matching method that is based on the joint modeling of the iris color components using the "holistic" representation provided by the quaternion representations. The efficiency of the proposed iris recognition method is characterized by greater accuracy and flexibility in capturing the color iris information. Using a database of 1877 color iris images, the experimental results indicate that the proposed method significantly improves iris recognition rates compared with traditional color approaches, while it enjoys a similar computational complexity.

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DO - 10.1109/BLISS.2009.20

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Y2 - 20 August 2009 through 22 August 2009

ER -

Color iris recognition using quaternion phase correlation

Abstract

Conference

ASJC Scopus subject areas

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