An Evaluation Of Iris Detection Methods For Real-Time Video Processing With Low-Cost Equipment

Andrey Kuehlkamp, Cristiano Roberto Franco,Eros Comunello

INFORMATION SCIENCES AND SYSTEMS 2014(2014)

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摘要
The purpose of this work is to accomplish a study aiming the construction of an eye tracking and iris detection system, based on images obtained from a low-cost webcam. The main objective of the paper is to conduct a comparison between three computer vision approaches for iris detection, trying to identify the more suitable method for application in the aforementioned low-cost eye tracking system. The methods which have achieved the best detection rates were the Projection and Thresholding, however, all of them offer possibilities for application in real-time processing and improvement.
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关键词
Video Sequence, Iris Detection, Hough Transform, Video Database, Thresholding Algorithm
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