Biometric Authentication With Finger Vein Images Based On Quadrature Discriminant Analysis

D. Akila, S. Jeyalaksshmi, R. Jayakarthik, S. Mathivilasini, G. Suseendran
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引用次数: 5

Abstract

For long ago, biometric authentication has been performed for high-security applications like bank lockers, private places. Here studies made on the physiological attributes of an individual can be represented with his finger print, iris, etc. Among those finger vein identification is a new methodology in the biometric recognition system. Here, finger vein patterns can be used to give authentication to an individual for accessing high-security applications. In this paper, we are going to perform finger vein recognition Quadrature Discriminant analysis method. Finger vein images are subjected to preprocessing steps for making the image more stable for further processing. Then QDA process has been applied, followed by the Minimum Distance Classifier.
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基于正交判别分析的手指静脉图像生物特征认证
很久以前,生物识别认证只用于银行储物柜、私人场所等高安全性应用。在这里,对一个人的生理属性的研究可以用他的指纹、虹膜等来表示。其中,指静脉识别是生物特征识别系统中的一种新方法。在这里,手指静脉模式可以用来为访问高安全性应用程序的个人提供身份验证。本文将采用正交判别分析法对手指静脉进行识别。手指静脉图像经过预处理步骤,使图像更加稳定,以便进一步处理。然后应用QDA过程,然后是最小距离分类器。
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