Color iris recognition using hypercomplex gabor wavelets

Fares S. Al-Qunaieer; Lahouari Ghouti

doi:10.1109/BLISS.2009.19

Color iris recognition using hypercomplex gabor wavelets

Fares S. Al-Qunaieer
, Lahouari Ghouti

Department of Information and Computer Science

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

4 Scopus citations

Abstract

Biometric systems have gradually become an accepted mean for person identification and verification. Recently, person identification using iris features has received a lot of attention in both research and industry communities. This is mainly due to the unique characteristics and texture found in iris images. Most proposed iris recognition techniques are based on gray-level representations. The aim of this paper is to develop a novel method for the automatic recognition and matching of color iris images based on hypercomplex (Quaternion) Gabor wavelets. The performance of Quaternion image representation is compared with that of other representations, and a study of the results is conducted. The well-known IrisCode algorithm, developed by John Daugman, is extended to the color domain.

Original language	English
Pages	18-19
Number of pages	2
DOIs	https://doi.org/10.1109/BLISS.2009.19
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.2009.19

Cite this

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title = "Color iris recognition using hypercomplex gabor wavelets",

abstract = "Biometric systems have gradually become an accepted mean for person identification and verification. Recently, person identification using iris features has received a lot of attention in both research and industry communities. This is mainly due to the unique characteristics and texture found in iris images. Most proposed iris recognition techniques are based on gray-level representations. The aim of this paper is to develop a novel method for the automatic recognition and matching of color iris images based on hypercomplex (Quaternion) Gabor wavelets. The performance of Quaternion image representation is compared with that of other representations, and a study of the results is conducted. The well-known IrisCode algorithm, developed by John Daugman, is extended to the color domain.",

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

year = "2009",

doi = "10.1109/BLISS.2009.19",

language = "English",

pages = "18--19",

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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TY - CONF

T1 - Color iris recognition using hypercomplex gabor wavelets

AU - Al-Qunaieer, Fares S.

AU - Ghouti, Lahouari

PY - 2009

Y1 - 2009

N2 - Biometric systems have gradually become an accepted mean for person identification and verification. Recently, person identification using iris features has received a lot of attention in both research and industry communities. This is mainly due to the unique characteristics and texture found in iris images. Most proposed iris recognition techniques are based on gray-level representations. The aim of this paper is to develop a novel method for the automatic recognition and matching of color iris images based on hypercomplex (Quaternion) Gabor wavelets. The performance of Quaternion image representation is compared with that of other representations, and a study of the results is conducted. The well-known IrisCode algorithm, developed by John Daugman, is extended to the color domain.

AB - Biometric systems have gradually become an accepted mean for person identification and verification. Recently, person identification using iris features has received a lot of attention in both research and industry communities. This is mainly due to the unique characteristics and texture found in iris images. Most proposed iris recognition techniques are based on gray-level representations. The aim of this paper is to develop a novel method for the automatic recognition and matching of color iris images based on hypercomplex (Quaternion) Gabor wavelets. The performance of Quaternion image representation is compared with that of other representations, and a study of the results is conducted. The well-known IrisCode algorithm, developed by John Daugman, is extended to the color domain.

UR - https://www.scopus.com/pages/publications/77749242811

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DO - 10.1109/BLISS.2009.19

M3 - Paper

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T2 - 2009 International Symposium on Bio-inspired, Learning, and Intelligent Systems for Security, BLISS 2009

Y2 - 20 August 2009 through 22 August 2009

ER -

Color iris recognition using hypercomplex gabor wavelets

Abstract

Conference

ASJC Scopus subject areas

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