虹膜生物识别系统的概念及边缘检测技术

N. Jagadeesh, C. M. Patil
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引用次数: 2

摘要

近年来,在虹膜识别、虹膜机械化划分、边缘发现、极限识别等方面发生了极大的变化。虹膜识别是一种生物识别技术的创新,它针对虹膜的精彩图片,采用了实例识别程序。虹膜识别框架基本上利用红外线或其他明显的光。基于近红外光(NIR)的框架非常基础,因为近红外光不会产生反射,从而使虹膜识别变得复杂。然而,近红外图像需要阴影色调数据,这样识别计算应该完全依赖于与阴影无关的例子。在本文中,我们展示了计算使用的确定过程,同时再现了。所提出的系统以及所介绍的繁殖的产生证明了我们所创造的技术的充分性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An conceptual view of an iris-biometric identification system canny edge detection techniques
In the current years, extreme changes have been refined in the regions like iris acknowledgment, mechanized iris division, edge discovery, limit identification and so on. Iris acknowledgment is a biometric acknowledgment innovation that uses the example acknowledgment procedures in view of the brilliant pictures of iris. An iris acknowledgment framework fundamentally utilizes infrared or else the noticeable light. The frameworks which depend on close infrared light (NIR) are exceptionally basic on the grounds that NIR won't create reflections that makes iris acknowledgment complex. Yet, NIR pictures needs shade tinge data, in this way acknowledgment calculations should completely rely on upon the examples that are disconnected to shading. In this paper, we have exhibited the definite procedure of the calculation usage alongside the reenactment comes about. The proposed system alongside the introduced reproduction comes about demonstrates the adequacy of the technique created by us.
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