Iris identification using wavelet packet for images in visible light illumination

Emine Krichen; M. Anouar Mellakh; Sonia Garcia-Salicetti; Kamel Hamrouni; Nouredine Ellouze; Bernadette Dorizzi

doi:10.1007/978-3-540-25948-0_67

Iris identification using wavelet packet for images in visible light illumination

Emine Krichen, M. Anouar Mellakh, Sonia Garcia-Salicetti, Kamel Hamrouni, Nouredine Ellouze, Bernadette Dorizzi

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In this paper, we present a new method for iris identification particularly convenient for visible light images. It relies on the use of packets of wavelets [8] for the production of an code-vector. Experiments, conducted on a database of 700 iris images, acquired with visible light illumination, show an improvement of 1.5 % of FRR and of 12 % of FAR with the proposed method relatively to the classical wavelet method.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	David Zhang, Anil K. Jain
Publisher	Springer Verlag
Pages	491-497
Number of pages	7
ISBN (Print)	3540221468, 9783540221463
DOIs	https://doi.org/10.1007/978-3-540-25948-0_67
Publication status	Published - 1 Jan 2004
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3072
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

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10.1007/978-3-540-25948-0_67

Cite this

Krichen, E., Mellakh, M. A., Garcia-Salicetti, S., Hamrouni, K., Ellouze, N., & Dorizzi, B. (2004). Iris identification using wavelet packet for images in visible light illumination. In D. Zhang, & A. K. Jain (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 491-497). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3072). Springer Verlag. https://doi.org/10.1007/978-3-540-25948-0_67

Krichen, Emine ; Mellakh, M. Anouar ; Garcia-Salicetti, Sonia et al. / Iris identification using wavelet packet for images in visible light illumination. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / David Zhang ; Anil K. Jain. Springer Verlag, 2004. pp. 491-497 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "In this paper, we present a new method for iris identification particularly convenient for visible light images. It relies on the use of packets of wavelets [8] for the production of an code-vector. Experiments, conducted on a database of 700 iris images, acquired with visible light illumination, show an improvement of 1.5 \% of FRR and of 12 \% of FAR with the proposed method relatively to the classical wavelet method.",

author = "Emine Krichen and Mellakh, \{M. Anouar\} and Sonia Garcia-Salicetti and Kamel Hamrouni and Nouredine Ellouze and Bernadette Dorizzi",

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Krichen, E, Mellakh, MA, Garcia-Salicetti, S, Hamrouni, K, Ellouze, N & Dorizzi, B 2004, Iris identification using wavelet packet for images in visible light illumination. in D Zhang & AK Jain (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3072, Springer Verlag, pp. 491-497. https://doi.org/10.1007/978-3-540-25948-0_67

Iris identification using wavelet packet for images in visible light illumination. / Krichen, Emine; Mellakh, M. Anouar; Garcia-Salicetti, Sonia et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / David Zhang; Anil K. Jain. Springer Verlag, 2004. p. 491-497 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3072).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Iris identification using wavelet packet for images in visible light illumination

AU - Krichen, Emine

AU - Mellakh, M. Anouar

AU - Garcia-Salicetti, Sonia

AU - Hamrouni, Kamel

AU - Ellouze, Nouredine

AU - Dorizzi, Bernadette

PY - 2004/1/1

Y1 - 2004/1/1

N2 - In this paper, we present a new method for iris identification particularly convenient for visible light images. It relies on the use of packets of wavelets [8] for the production of an code-vector. Experiments, conducted on a database of 700 iris images, acquired with visible light illumination, show an improvement of 1.5 % of FRR and of 12 % of FAR with the proposed method relatively to the classical wavelet method.

AB - In this paper, we present a new method for iris identification particularly convenient for visible light images. It relies on the use of packets of wavelets [8] for the production of an code-vector. Experiments, conducted on a database of 700 iris images, acquired with visible light illumination, show an improvement of 1.5 % of FRR and of 12 % of FAR with the proposed method relatively to the classical wavelet method.

U2 - 10.1007/978-3-540-25948-0_67

DO - 10.1007/978-3-540-25948-0_67

M3 - Chapter

AN - SCOPUS:35048895413

SN - 3540221468

SN - 9783540221463

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 491

EP - 497

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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A2 - Jain, Anil K.

PB - Springer Verlag

ER -

Krichen E, Mellakh MA, Garcia-Salicetti S, Hamrouni K, Ellouze N, Dorizzi B. Iris identification using wavelet packet for images in visible light illumination. In Zhang D, Jain AK, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 491-497. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-25948-0_67

Iris identification using wavelet packet for images in visible light illumination

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