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2014 | OriginalPaper | Chapter

An Evaluation of Iris Detection Methods for Real-Time Video Processing with Low-Cost Equipment

Authors : Andrey Kuehlkamp, Cristiano Roberto Franco, Eros Comunello

Published in: Information Sciences and Systems 2014

Publisher: Springer International Publishing

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Abstract

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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Metadata
Title
An Evaluation of Iris Detection Methods for Real-Time Video Processing with Low-Cost Equipment
Authors
Andrey Kuehlkamp
Cristiano Roberto Franco
Eros Comunello
Copyright Year
2014
Book
Information Sciences and Systems 2014

Print ISBN: 978-3-319-09464-9

Electronic ISBN: 978-3-319-09465-6

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-09465-6_12

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