Recognition of Characters and Patterns using Neural Network

Abstract

This paper describes the recognition of handwritten characters using Probabilistic neutral network classifier. Identification of hand written characters requires the large number of data sets. The individual characters are identified using Segmentation and the feature analysis is done through the grey-level co-occurrence matrix. Finally the PNN Classifier is used to classify the each individual characters based on the stored data set.