Proposing a New Framework for Biometric Optical Recognition for Handwritten Digits Data Set

In this article we examine and demonstrate how we can recognize the handwritten digits using Kernel Discriminant Analysis and we make investigation on the optical recognition of the handwritten digits data set. The framework is based on linear discriminant analysis and Fisher’s linear discriminant. The output of the framework represents a combination which it can be used as a linear classifier.

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