@inproceedings{8173f4eb1486401682052036b150f149,
title = "The iris feature point averaging method in student eye gaze tracking",
abstract = "In order to solve the problems that the infrared camera must be used to illuminate the human eye to obtain the iris image, and because the eyelid covers, the iris image can not be extracted completely, which cause the failure of tracking the iris accurately. In this paper, the Average Feature Point (AFP) is proposed to locate iris center. This method uses the camera of notebook to take human photos, recognizes face by Haar features, and further intercepts the human eye region; and the First Valley Method (FVM) is used to select the appropriate iris binarization threshold by analyzing the eye gray histogram; after that, use the feature of the maximum connected domain to eliminate the noise of the image; finally AFP is used to locate the center of the iris. A large number of experiments have been conducted on different states of human images, the results showed that AFP improved the accuracy of locating iris center compared with the traditional Hough method.",
keywords = "Average Feature Point, Eye Gray Histogram, First Valley Method, Iris Location",
author = "Fangfang Yang and Yaping Dai and Lei Wang and Zhiyang Jia",
note = "Publisher Copyright: {\textcopyright} 2018 Technical Committee on Control Theory, Chinese Association of Automation.; 37th Chinese Control Conference, CCC 2018 ; Conference date: 25-07-2018 Through 27-07-2018",
year = "2018",
month = oct,
day = "5",
doi = "10.23919/ChiCC.2018.8482573",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "5520--5524",
editor = "Xin Chen and Qianchuan Zhao",
booktitle = "Proceedings of the 37th Chinese Control Conference, CCC 2018",
address = "United States",
}
