Iris recognition in wearable computer

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

Research output: Contribution to journalArticle

5 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 languageEnglish
Pages (from-to)475-483
Number of pages9
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3072
Publication statusPublished - 2004 Dec 1

Fingerprint

Wearable Computer
Wearable computers
Iris Recognition
Iris
Wearable Computing
Elimination
Lenses
Lens
Output
Experimental Results
Research

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

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

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3072, 01.12.2004, p. 475-483.

Research output: Contribution to journalArticle

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