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Proceedings Paper

Self-adaptive iris image acquisition system
Author(s): Wenbo Dong; Zhenan Sun; Tieniu Tan; Xianchao Qiu
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Paper Abstract

Iris image acquisition is the fundamental step of the iris recognition, but capturing high-resolution iris images in real-time is very difficult. The most common systems have small capture volume and demand users to fully cooperate with machines, which has become the bottleneck of iris recognition's application. In this paper, we aim at building an active iris image acquiring system which is self-adaptive to users. Two low resolution cameras are co-located in a pan-tilt-unit (PTU), for face and iris image acquisition respectively. Once the face camera detects face region in real-time video, the system controls the PTU to move towards the eye region and automatically zooms, until the iris camera captures an clear iris image for recognition. Compared with other similar works, our contribution is that we use low-resolution cameras, which can transmit image data much faster and are much cheaper than the high-resolution cameras. In the system, we use Haar-like cascaded feature to detect faces and eyes, linear transformation to predict the iris camera's position, and simple heuristic PTU control method to track eyes. A prototype device has been established, and experiments show that our system can automatically capture high-quality iris image in the range of 0.6m×0.4m×0.4m in average 3 to 5 seconds.

Paper Details

Date Published: 17 March 2008
PDF: 9 pages
Proc. SPIE 6944, Biometric Technology for Human Identification V, 694406 (17 March 2008); doi: 10.1117/12.777516
Show Author Affiliations
Wenbo Dong, Institute of Automation (China)
Zhenan Sun, Institute of Automation (China)
Tieniu Tan, Institute of Automation (China)
Xianchao Qiu, Institute of Automation (China)


Published in SPIE Proceedings Vol. 6944:
Biometric Technology for Human Identification V
B.V.K. Vijaya Kumar; Salil Prabhakar; Arun A. Ross, Editor(s)

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