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Efficient Iris Recognition Method for Identification

机译:高效的识别识别方法

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In recent times the security has become a major issue of concern among the people. There is multifold increase in the installation and deployment of security services around the world. The threat starts when an unwanted person tries to obtain access to any place or value. In such a scenario the correct identification of the person is necessary so as to restrict the unidentified people from gaining access. Biometric details of a person offer the possibility of identifying the person very accurately. Iris identification is one such technique. This paper presents two different approaches for iris identification viz. template matching and average value method. Both the methods were tested on variety of images from the available database [1].Template matching is done using NI Vision Assistant 7.1 and NI Lab VIEW 7.1. MATLAB 7.4 was used to implement average value method.
机译:最近,安全已成为人民关注的主要问题。世界各地安全服务的安装和部署有多型增加。当不需要的人员尝试获取对任何地方或价值的访问时,威胁开始。在这种情况下,该人的正确识别是必要的,以便限制未识别的人获得访问。一个人的生物统计学详情提供了非常准确地识别人的可能性。虹膜识别是一种这样的技术。本文呈现了两种不同的虹膜识别方法。模板匹配和平均值方法。这两种方法都在可用数据库中的各种图像上进行了测试[1]。使用NI Vision Assistant 7.1和NI Lab View 7.1完成了匹配。 MATLAB 7.4用于实施平均值方法。

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