Neural Networks for Handwritten English Alphabet Recognition

TL;DR

This paper presents a neural network-based system for recognizing handwritten English alphabets using binary feature representations and a simple feature extraction process.

Contribution

It introduces a neural network approach specifically designed for handwritten alphabet recognition with a straightforward feature extraction method.

Findings

Effective recognition accuracy demonstrated

Simple feature extraction combined with neural networks

Potential for real-time handwritten alphabet recognition

Abstract

This paper demonstrates the use of neural networks for developing a system that can recognize hand-written English alphabets. In this system, each English alphabet is represented by binary values that are used as input to a simple feature extraction system, whose output is fed to our neural network system.