A real-time focusing algorithm for iris recognition camera

Kang Ryoung Park, Jaihie Kim

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

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

Original languageEnglish
Pages (from-to)410-417
Number of pages8
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3072
Publication statusPublished - 2004 Dec 1

Fingerprint

Iris Recognition
Iris
Camera
Cameras
Glass
Real-time
Image acquisition
Image Acquisition
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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abstract = "For fast iris recognition, it is very important to capture user's focused eye image at fast speed. In previous researches and systems, they use the focusing method which has been used for general landscape scene without considering the characteristics of iris image. So, they take much focusing time, especially in case of the user with glasses. To overcome such problems, we propose a new iris image acquisition method to capture user's focused eye image at very fast speed based on the corneal specular reflection. Experimental results show that the focusing time for both the users with glasses and without glasses is average 480 ms and we can conclude our method can be used for the real-time iris recognition camera.",
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