A real-time focusing algorithm for iris recognition camera

Kang Ryoung Park, Jaihie Kim

Research output: Contribution to journalArticle

50 Citations (Scopus)

Abstract

For fast iris recognition, it is very important to capture the user's focused eye image at fast speed. Previous researchers have used the focusing method which has been applied to general landscape scenes without considering the characteristics of the iris image. So, they take much focusing time, especially in the case of the user with glasses. To overcome such problems, we propose a new iris image acquisition method to capture focused eye images at very fast speed based on corneal specular reflection. Experimental results show that the focusing time for both users with and without glasses averages 480 ms, and we conclude that our method can be used for the real-time iris recognition camera.

Original languageEnglish
Pages (from-to)441-444
Number of pages4
JournalIEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
Volume35
Issue number3
DOIs
Publication statusPublished - 2005 Aug 1

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Cameras
Glass
Image acquisition

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Artificial Intelligence
  • Human-Computer Interaction
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

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A real-time focusing algorithm for iris recognition camera. / Park, Kang Ryoung; Kim, Jaihie.

In: IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, Vol. 35, No. 3, 01.08.2005, p. 441-444.

Research output: Contribution to journalArticle

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