Nonintrusive iris image acquisition system based on a pan-tilt-zoom camera and light stripe projection

Soweon Yoon, Ho Gi Jung, Kang Ryoung Park, Jaihie Kim

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Although iris recognition is one of the most accurate biometric technologies, it has not yet been widely used in practical applications. This is mainly due to user inconvenience during the image acquisition phase. Specifically, users try to adjust their eye position within small capture volume at a close distance from the system. To overcome these problems, we propose a novel iris image acquisition system that provides users with unconstrained environments: a large operating range, enabling movement from standing posture, and capturing good-quality iris images in an acceptable time. The proposed system has the following three contributions compared with previous works: (1) the capture volume is significantly increased by using a pan-tilt-zoom (PTZ) camera guided by a light stripe projection, (2) the iris location in the large capture volume is found fast due to 1-D vertical face searching from the user's horizontal position obtained by the light stripe projection, and (3) zooming and focusing on the user's irises at a distance are accurate and fast using the estimated 3-D position of a face by the light stripe projection and the PTZ camera. Experimental results show that the proposed system can capture good-quality iris images in 2.479s on average at a distance of 1.5to3m, while allowing a limited amount of movement by the user.

Original languageEnglish
Article number037202
JournalOptical Engineering
Volume48
Issue number3
DOIs
Publication statusPublished - 2009 Dec 1

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

Cite this