Iris recognition against counterfeit attack using gradient based fusion of multi-spectral images

Jong Hyun Park, Moon Gi Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

In this paper, we present an iris recognition system considering counterfeit attacks. The proposed system takes multi-spectral images instead of one infrared iris image. The energy of the multi-spectral images is checked and the authentication is failed if the amount of the energy is not in the proper range. Then the images are normalized and merged into a grayscale image by using a gradient-based image fusion algorithm. In the fusion process, the images considered to be from a counterfeited iris are merged into a poor-quality image which successively generates poor matching score. We show that the proposed scheme successfully maintains the performance of real iris images preventing the counterfeit attacks with experimental results.

Original languageEnglish
Title of host publicationAdvances in Biometric Person Authentication - International Wokshop on Biometric Recognition Systems, IWBRS 2005, Proceedings
Pages150-156
Number of pages7
Publication statusPublished - 2005 Dec 1
EventInternational Wokshop on Biometric Recognition Systems, IWBRS 2005: Advances in Biometric Person Authentication - Beijing, China
Duration: 2005 Oct 222005 Oct 23

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3781 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Wokshop on Biometric Recognition Systems, IWBRS 2005: Advances in Biometric Person Authentication
CountryChina
CityBeijing
Period05/10/2205/10/23

Fingerprint

Iris Recognition
Multispectral Images
Image fusion
Authentication
Image quality
Fusion
Attack
Gradient
Iris
Infrared radiation
Image Fusion
Energy
Image Quality
Infrared
Experimental Results
Range of data

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Park, J. H., & Kang, M. G. (2005). Iris recognition against counterfeit attack using gradient based fusion of multi-spectral images. In Advances in Biometric Person Authentication - International Wokshop on Biometric Recognition Systems, IWBRS 2005, Proceedings (pp. 150-156). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3781 LNCS).
Park, Jong Hyun ; Kang, Moon Gi. / Iris recognition against counterfeit attack using gradient based fusion of multi-spectral images. Advances in Biometric Person Authentication - International Wokshop on Biometric Recognition Systems, IWBRS 2005, Proceedings. 2005. pp. 150-156 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Park, JH & Kang, MG 2005, Iris recognition against counterfeit attack using gradient based fusion of multi-spectral images. in Advances in Biometric Person Authentication - International Wokshop on Biometric Recognition Systems, IWBRS 2005, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3781 LNCS, pp. 150-156, International Wokshop on Biometric Recognition Systems, IWBRS 2005: Advances in Biometric Person Authentication, Beijing, China, 05/10/22.

Iris recognition against counterfeit attack using gradient based fusion of multi-spectral images. / Park, Jong Hyun; Kang, Moon Gi.

Advances in Biometric Person Authentication - International Wokshop on Biometric Recognition Systems, IWBRS 2005, Proceedings. 2005. p. 150-156 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3781 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - In this paper, we present an iris recognition system considering counterfeit attacks. The proposed system takes multi-spectral images instead of one infrared iris image. The energy of the multi-spectral images is checked and the authentication is failed if the amount of the energy is not in the proper range. Then the images are normalized and merged into a grayscale image by using a gradient-based image fusion algorithm. In the fusion process, the images considered to be from a counterfeited iris are merged into a poor-quality image which successively generates poor matching score. We show that the proposed scheme successfully maintains the performance of real iris images preventing the counterfeit attacks with experimental results.

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Park JH, Kang MG. Iris recognition against counterfeit attack using gradient based fusion of multi-spectral images. In Advances in Biometric Person Authentication - International Wokshop on Biometric Recognition Systems, IWBRS 2005, Proceedings. 2005. p. 150-156. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).