Eigen Values of Covariance Matrix for Feature Extraction of Latin Printed Image

Abstract

In this research the covariance matrix which was used in so many fields, its eigen values adopted to be the main parameters for Latin printed character recognition. The idea was divided in two stages. The first stage is to generate the covariance matrix then, evaluate its eigen values to build main table for the whole latin characters in addition to the numeric values. The second stage is the recognition stage, which achieved to any character that was entered. The applied examples do not register any negative result. So it can be strongly recommended for printed character recognition.