Hand Written Telugu Character Recognition Using Bayesian Classifier

Abstract

Identifying handwritten Telugu is difficult way in machine vision systems because of the complex shape of the individual characters and the size of Telugu character set. In this paper, an efficient algorithm is presented to identify individual handwritten Telugu characters based on HOG features and Bayesian classification. The proposed system utilizes features of Telugu scripts for identifying handwritten Telugu text efficiently. The recognition rate for Telugu script is 87.5%.