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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