A real-time focusing algorithm for iris recognition camera

Kang Ryoung Park, Jaihie Kim

Research output: Contribution to journalArticlepeer-review

55 Citations (Scopus)


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
Issue number3
Publication statusPublished - 2005 Aug

Bibliographical note

Funding Information:
Manuscript received December 12, 2003; revised May 20, 2004. This work was supported by Korea Science and Engineering Foundation (KOSEF) through Biometrics Engineering Research Center (BERC) at Yonsei University. This paper was recommended by Guest Editor D. Zhang. K. R. Park is with the Division of Media Technology, SangMyung University, Seoul 110-743, Republic of Korea (e-mail: parkgr@smu.ac.kr). J. Kim is with the Department of Electrical and Electronic Engineering, University, Seoul 120-749, Republic of Korea (e-mail: jhkim@yonsei. ac.kr). Digital Object Identifier 10.1109/TSMCC.2005.848168

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering


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