Handwritten character recognition system using artificial neural networks

Abstract

In this paper, a Handwritten Character Recognition system is designed using Multilayer FeedforwardArticial 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 andtraining period effect the result.