Title

A Novel Electromyography (EMG) Based Classification Approach for Arabic Handwriting

Source of Publication

Proceedings of the International Joint Conference on Neural Networks

Abstract

In this paper, a novel classification approach for handwritten Arabic characters is proposed. Features for classification are extracted from electromygraphic (EMG) signals detected on two forearm muscles. Noise cancellations in conjunction with a process parameter estimator for feature identification are proposed. Neural networks using a potentially damped least mean squared algorithm is used at the classification stage. The proposed new classification technique is used on handwritten Arabic characters.

Document Type

Conference Proceeding

First Page

2193

Last Page

2196

Publication Date

9-24-2003

This document is currently not available here.

Share

COinS