Iris recognition in mobile phone based on adaptive gabor filter

Dae Sik Jeong, Hyun Ae Park, Kang Ryoung Park, Jaihie Kim

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

33 Citations (Scopus)

Abstract

As the security of personal information is becoming more important in mobile phones, we apply iris recognition technology to mobile device. Different from conventional iris recognition system used for access control, user puts the mobile phone by hands in this case. So, optical and motion blurring happens, frequently. In addition, most users have tendencies to use the mobile phone in outdoor and sunlight (which includes much amount of IR(Infra-Red) light) may have much effect on the input iris image in spite of the visible light cut filter attached in front of iris camera lens. To overcome such problems, we propose a new method of extracting the accurate iris code based on AGF (Adaptive Gabor Filter). The kernel size, frequency and amplitude of Gabor filter are determined by the amount of blurring and sunlight in input image, adaptively. Experimental results show that the EER by our propose method is 0. 14 %.

Original languageEnglish
Title of host publicationAdvances in Biometrics - International Conference, ICB 2006, Proceedings
Pages457-463
Number of pages7
Volume3832 LNCS
Publication statusPublished - 2006 Jun 15
EventInternational Conference on Biometrics, ICB 2006 - Hong Kong, China
Duration: 2006 Jan 52006 Jan 7

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3832 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Conference on Biometrics, ICB 2006
CountryChina
CityHong Kong
Period06/1/506/1/7

Fingerprint

Iris Recognition
Gabor filters
Gabor Filter
Adaptive Filter
Iris
Adaptive filters
Mobile Phone
Mobile phones
Camera lenses
Red Light
Access Control
Access control
Mobile devices
Mobile Devices
Lens
Infrared
Camera
Filter
kernel
Infrared radiation

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Jeong, D. S., Park, H. A., Park, K. R., & Kim, J. (2006). Iris recognition in mobile phone based on adaptive gabor filter. In Advances in Biometrics - International Conference, ICB 2006, Proceedings (Vol. 3832 LNCS, pp. 457-463). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3832 LNCS).
Jeong, Dae Sik ; Park, Hyun Ae ; Park, Kang Ryoung ; Kim, Jaihie. / Iris recognition in mobile phone based on adaptive gabor filter. Advances in Biometrics - International Conference, ICB 2006, Proceedings. Vol. 3832 LNCS 2006. pp. 457-463 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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abstract = "As the security of personal information is becoming more important in mobile phones, we apply iris recognition technology to mobile device. Different from conventional iris recognition system used for access control, user puts the mobile phone by hands in this case. So, optical and motion blurring happens, frequently. In addition, most users have tendencies to use the mobile phone in outdoor and sunlight (which includes much amount of IR(Infra-Red) light) may have much effect on the input iris image in spite of the visible light cut filter attached in front of iris camera lens. To overcome such problems, we propose a new method of extracting the accurate iris code based on AGF (Adaptive Gabor Filter). The kernel size, frequency and amplitude of Gabor filter are determined by the amount of blurring and sunlight in input image, adaptively. Experimental results show that the EER by our propose method is 0. 14 {\%}.",
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Jeong, DS, Park, HA, Park, KR & Kim, J 2006, Iris recognition in mobile phone based on adaptive gabor filter. in Advances in Biometrics - International Conference, ICB 2006, Proceedings. vol. 3832 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3832 LNCS, pp. 457-463, International Conference on Biometrics, ICB 2006, Hong Kong, China, 06/1/5.

Iris recognition in mobile phone based on adaptive gabor filter. / Jeong, Dae Sik; Park, Hyun Ae; Park, Kang Ryoung; Kim, Jaihie.

Advances in Biometrics - International Conference, ICB 2006, Proceedings. Vol. 3832 LNCS 2006. p. 457-463 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3832 LNCS).

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

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Jeong DS, Park HA, Park KR, Kim J. Iris recognition in mobile phone based on adaptive gabor filter. In Advances in Biometrics - International Conference, ICB 2006, Proceedings. Vol. 3832 LNCS. 2006. p. 457-463. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).