A review of iris recognition algorithms
A review of iris recognition algorithms
复制标题
虹膜识别算法综述
DOI：
--
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
K. Mok
中科院分区：
文献类型：
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作者：
Richard Yew Fatt Ng;Yong Haur Tay;K. Mok
虹膜识别是近年来的一个研究热点。由于其可靠性和近乎完美的识别率，虹膜识别被用于高安全性领域。它的应用包括机场和港口的边境控制、实验室和工厂的访问控制、自动取款机的识别以及对警方证据室的限制访问。本文综述了虹膜识别的主要研究成果。虹膜识别系统主要分为三个阶段：图像预处理、特征提取和模板匹配。本文对每个阶段实现的最著名算法进行了文献综述。
Iris recognition has become a popular research in recent years. Due to its reliability and nearly perfect recognition rates, iris recognition is used in high security areas. Among its applications are border control in airports and harbors, access control in laboratories and factories, identification for Automatic Teller Machines (ATMs) and restricted access to police evidence rooms. This paper provides a review of major iris recognition researches. There are three main stages in iris recognition system: image preprocessing, feature extraction and template matching. A literature review of the most prominent algorithms implemented in each stage is presented.
DOI：
10.1364/josaa.4.002379
发表时间：
1987-12-01
影响因子：
1.9
作者：
FIELD, DJ
通讯作者：
FIELD, DJ