Iris recognition in wearable computer

Jeong Jun Lee; Seungin Noh; Kang Ryoung Park; Jaihie Kim

doi:10.1007/978-3-540-25948-0_65

Iris recognition in wearable computer

Jeong Jun Lee, Seungin Noh, Kang Ryoung Park, Jaihie Kim

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

6 Citations (Scopus)

Abstract

Recently, there has been much progress in wearable computing. Input/output interface and security are important research areas in wearable computing. In this paper, we describe considerations which should be taken into account in designing a wearable interface and iris recognition system. One of the most important issues in designing a wearable iris recognition system is the radial lens distortion. We suggest a radial distortion elimination method which is simple but accurate. Experimental results show that the quality of the image captured by our system is good enough for iris recognition and we can achieve 0.18% of the EER by applying our proposed radial distortion elimination 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	475-483
Number of pages	9
ISBN (Print)	3540221468, 9783540221463
DOIs	https://doi.org/10.1007/978-3-540-25948-0_65
Publication status	Published - 2004

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

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-25948-0_65

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Lee, J. J., Noh, S., Park, K. R., & Kim, J. (2004). Iris recognition in wearable computer. 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. 475-483). (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_65

Lee, Jeong Jun ; Noh, Seungin ; Park, Kang Ryoung ; Kim, Jaihie. / Iris recognition in wearable computer. 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. 475-483 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Recently, there has been much progress in wearable computing. Input/output interface and security are important research areas in wearable computing. In this paper, we describe considerations which should be taken into account in designing a wearable interface and iris recognition system. One of the most important issues in designing a wearable iris recognition system is the radial lens distortion. We suggest a radial distortion elimination method which is simple but accurate. Experimental results show that the quality of the image captured by our system is good enough for iris recognition and we can achieve 0.18% of the EER by applying our proposed radial distortion elimination method.",

author = "Lee, {Jeong Jun} and Seungin Noh and Park, {Kang Ryoung} and Jaihie Kim",

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Lee, JJ, Noh, S, Park, KR & Kim, J 2004, Iris recognition in wearable computer. 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. 475-483. https://doi.org/10.1007/978-3-540-25948-0_65

Iris recognition in wearable computer. / Lee, Jeong Jun; Noh, Seungin; Park, Kang Ryoung; Kim, Jaihie.

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. 475-483 (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

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AU - Kim, Jaihie

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AB - Recently, there has been much progress in wearable computing. Input/output interface and security are important research areas in wearable computing. In this paper, we describe considerations which should be taken into account in designing a wearable interface and iris recognition system. One of the most important issues in designing a wearable iris recognition system is the radial lens distortion. We suggest a radial distortion elimination method which is simple but accurate. Experimental results show that the quality of the image captured by our system is good enough for iris recognition and we can achieve 0.18% of the EER by applying our proposed radial distortion elimination method.

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Lee JJ, Noh S, Park KR, Kim J. Iris recognition in wearable computer. 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. 475-483. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-25948-0_65