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

被引：2
|
作者：
Kuehlkamp, Andrey [1 ,2 ]
Franco, Cristiano Roberto [2 ]
Comunello, Eros [2 ]
机构：
[1] West Santa Catarina Univ UNOESC Videira, Catarina, Brazil
[2] Itajai Valley Univ UNIVALI Itajai, Itajai, Brazil
来源：
INFORMATION SCIENCES AND SYSTEMS 2014 | 2014年
关键词：
EYE DETECTION; FACE;
D O I：
10.1007/978-3-319-09465-6_12
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
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.
引用
收藏
页码：105 / 113
页数：9
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