Visual Character Recognition using Artificial Neural Networks

TL;DR

This paper presents a simplified neural network approach for optical character recognition, highlighting its historical significance and providing educational insights into neural pattern recognition techniques.

Contribution

It introduces a basic neural network method for character recognition, serving as an educational resource for beginners in AI and pattern recognition.

Findings

Demonstrates the feasibility of neural networks for character recognition

Provides a simplified model suitable for learning purposes

Highlights the potential of neural networks in optical character recognition

Abstract

The recognition of optical characters is known to be one of the earliest applications of Artificial Neural Networks, which partially emulate human thinking in the domain of artificial intelligence. In this paper, a simplified neural approach to recognition of optical or visual characters is portrayed and discussed. The document is expected to serve as a resource for learners and amateur investigators in pattern recognition, neural networking and related disciplines.