On-Line Devanagari Handwritten Character Recognition Using Moments Features

Abstract

Now a days recognizing the handwritten character is receiving high significance because of numerous applications like Educational Software, On-line Signature Verification, Bank Cheque Processing, postal code recognition, Electronic library etc. Very less work is accounted in the research of Devanagari handwritten character recognition (HWDCR), so that there is a large scope of research in this area. In this paper we proposed a HWDCR system that recognizes Devanagari handwritten characters, the most popular script in India. Using pen tablet handwritten character is inputted and its on-line features are extracted like sequence of (x, y) coordinates, stroke and pressure information which are passed to classifier for classification. We have used MLP-BP Neural Network Classifier for classification. The average recognition accuracy is achieved by the proposed HWDCR system is 90% using on-line data.