Handwritten character recognition system using artificial neural networks

GÖRGEL P., ÖZTAŞ O.

Istanbul University - Journal of Electrical and Electronics Engineering, vol.7, no.1, pp.309-313, 2007 (Scopus) identifier

  • Publication Type: Article / Article
  • Volume: 7 Issue: 1
  • Publication Date: 2007
  • Journal Name: Istanbul University - Journal of Electrical and Electronics Engineering
  • Journal Indexes: Scopus, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.309-313
  • Keywords: Artificial neural networks, Backpropagation, Character recognition, Supervised learning
  • Istanbul Gelisim University Affiliated: Yes

Abstract

In this paper, a Handwritten Character Recognition system is designed using Multilayer Feedforward Articial Neural Networks. Backpropagation Learning algorithm is prefered for training of neural network. Training set occures of various Latin characters collected from different people. The characters are presented directly to the network and correctly sized in pre-processing. Recognition percentage of the system is higher than acceptable level. Input datas, network parametres and training period effect the result.