Pan-Tilt-Zoom Based Iris Image Capturing System for Unconstrained User Environments at a Distance

This paper proposes a novel iris image capturing system using a pantilt-zoom camera for unconstrained user environments at a distance. To provide wide operating range, we are trying to develop iris image acquisition system using pan-tilt-zoom camera. This paper verifies that iris recognition is possible when iris images are captured with zoom lens at a distance from camera. Iris images are collected by changing the distance from camera to user, zoom factor to maintain face size in an image, and focus lens position. And they are assessed by Hamming distance. Experimental results show that iris images captured at a distance of 1.5- 3 m from camera can be verified as genuine and proposed system has 5-10 cm depth of field. This means that users have freedom of position as 1.5 m and natural movement of a standing user can be covered.

[1]  Paul A. Viola,et al.  Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.

[2]  Josef Kittler,et al.  Audio- and Video-Based Biometric Person Authentication, 5th International Conference, AVBPA 2005, Hilton Rye Town, NY, USA, July 20-22, 2005, Proceedings , 2005, AVBPA.

[3]  James L. Wayman,et al.  Fundamentals of Biometric Authentication Technologies , 2001, Int. J. Image Graph..

[4]  James R. Matey,et al.  Iris on the Move: Acquisition of Images for Iris Recognition in Less Constrained Environments , 2006, Proceedings of the IEEE.

[5]  Luca Bogoni,et al.  Iris Recognition at a Distance , 2005, AVBPA.

[6]  Guodong Guo,et al.  A System for Automatic Iris Capturing , 2005 .

[7]  John Daugman How iris recognition works , 2004 .

[8]  Ho Gi Jung,et al.  Non-intrusive Iris Image Capturing System Using Light Stripe Projection and Pan-Tilt-Zoom Camera , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[9]  Kang Ryoung Park,et al.  A Study on Iris Image Restoration , 2005, AVBPA.

[10]  J. Daugman,et al.  Epigenetic randomness, complexity and singularity of human iris patterns , 2001, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[11]  G. O. Williams Iris recognition technology , 1997 .

[12]  Anil K. Jain,et al.  Biometric Systems: Technology, Design and Performance Evaluation , 2004 .

[13]  John Daugman,et al.  Probing the Uniqueness and Randomness of IrisCodes: Results From 200 Billion Iris Pair Comparisons , 2006, Proceedings of the IEEE.