Handwritten Digit Recognition: A Neural Network Demo

  • Authors:
  • Berend-Jan van der Zwaag

  • Affiliations:
  • -

  • Venue:
  • Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
  • Year:
  • 2001

Quantified Score

Hi-index 0.00

Visualization

Abstract

A handwritten digit recognition system was used in a demonstration project to visualize artificial neural networks, in particular Kohonen's self-organizing feature map. The purpose of this project was to introduce neural networks through a relatively easy-to-understand application to the general public. This paper describes several techniques used for preprocessing the handwritten digits, as well as a number of ways in which neural networks were used for the recognition task. Whereas the main goal was a purely educational one, a moderate recognition rate of 98% was reached on a test set.