Image understanding for iris biometrics: A survey

被引：516

作者：

Bowyer, Kevin W. ^{[1
]}

Hollingsworth, Karen ^{[1
]}

Flynn, Patrick J. ^{[1
]}

机构：

[1] Univ Notre Dame, Dept Comp Sci & Engn, Notre Dame, IN 46556 USA

来源：

COMPUTER VISION AND IMAGE UNDERSTANDING | 2008年 / 110卷 / 02期

基金：

美国国家科学基金会;

关键词：

biometrics; identity verification; iris recognition; texture analysis;

D O I：

10.1016/j.cviu.2007.08.005

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This survey covers the historical development and current state of the art in image understanding for iris biometrics. Most research publications can be categorized as making their primary contribution to one of the four major modules in iris biometrics: image acquisition, iris segmentation, texture analysis and matching of texture representations. Other important research includes experimental evaluations, image databases, applications and systems, and medical conditions that may affect the iris. We also suggest a short list of recommended readings for someone new to the field to quickly grasp the big picture of iris biometrics. (c) 2007 Elsevier Inc. All rights reserved.

引用

页码：281 / 307

页数：27

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