A review of iris recognition algorithms

Richard Yew Fatt Ng, Yong Haur Tay, K. Mok
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引用次数: 51

Abstract

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.
虹膜识别算法综述
虹膜识别是近年来研究的热点。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、实验室和工厂的门禁控制、自动柜员机(atm)的识别以及对警方证物室的限制访问。本文对虹膜识别的主要研究进展进行了综述。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。对每个阶段中最突出的算法进行了文献回顾。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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