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An Algorithm for Detecting the Center of the Iris Using a Color Image and Improvement of Its Processing Speed

机译:一种利用彩色图像检测虹膜中心的算法及其处理速度的提高

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摘要

We have studied a man-machine interface system by using an eye gaze detection technique. Target users for this system are ordinary people and orthopedically impaired people who have no movement in their hands and head. Ordinary people can use this system under the condition that they do not move their head. An algorithm for detecting the center of the iris is proposed in this paper. An image of the eye is captured with a small video camera and the center of the iris is obtained by filtering in color space and pattern matching with a ring-shaped template. Improvement of the pattern matching speed is also described and the effectiveness of the reduction of calculation costs is shown. Furthermore, the accuracy of the eye gaze detection was evaluated.
机译:我们已经通过使用眼睛注视检测技术研究了人机界面系统。该系统的目标用户是手和头没有动静的普通人和骨伤残人士。普通人可以在不动头的情况下使用此系统。提出了一种虹膜中心检测算法。用小型摄像机捕获眼睛的图像,并通过在色彩空间中进行过滤并与环形模板进行图案匹配来获得虹膜的中心。还描述了模式匹配速度的提高,并且示出了减少计算成本的有效性。此外,评估了视线检测的准确性。

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