1 April 2009 Iris extraction using parametric template matching for eyegaze tracking
Author Affiliations +
Optical Engineering, 48(4), 047204 (2009). doi:10.1117/1.3120295
An eyegaze interface is one of the key technologies that serves as an input device in a ubiquitous-computing society. Recently, video-based techniques that do not require specific instruments have been studied. With these approaches, development of an accurate iris-extraction algorithm is very important to realize practical eyegaze tracking. For accurate iris extraction, it is necessary to achieve robustness, high speed, and high accuracy. Conventional iris-extraction algorithms experience difficulties in meeting all these requirements simultaneously. This study proposes an iris-extraction algorithm based on the parametric template matching method to satisfy all these requirements at the same time. The parametric template matching method achieves robustness by interpolating among some templates, and the method attains high accuracy by a subpixel matching technique. High-speed matching can be realized by coarse-to-fine matching. To verify the effectiveness of the proposed algorithm, we performed a basic experiment for eyegaze tracking. We show in this experiment that the processing time is approximately 1/900 of that of our previous method and that accuracy is acceptable with the new method. Then, we apply the proposed algorithm to an eyegaze keyboard, along with an imaging system for improving image quality, and we verify the effectiveness of this approach.
Ryo Ohtera, Takahiko Horiuchi, Shoji Tominaga, "Iris extraction using parametric template matching for eyegaze tracking," Optical Engineering 48(4), 047204 (1 April 2009). https://doi.org/10.1117/1.3120295

Iris recognition

Detection and tracking algorithms

Eye models



Hough transforms



Preprocessing of off-axis iris images for recognition
Proceedings of SPIE (October 03 2008)

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