Handwritten Digit Recognition: A Neural Network Demo

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.

• Type: Conference
• Year: 2001
• Where: FUZZY
• Authors: Berend-Jan van der Zwaag
• Keywords: FUZZY 2001, Fuzzy Logic, Handwritten Digit Recognition, Handwritten Digits, Neural Networks