Title :
An optical character recognition using artificial neural network
Author :
Mani, Nallasamy ; Voumard, Paul
Author_Institution :
Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia
Abstract :
In this paper, we discuss an artificial neural network approach for optical character recognition (OCR). We examine a simple pattern-recognition system designed and simulated using artificial neural network. Training the network on different set of noisy data forced the net to learn how to deal with noise. The backpropagation method is used for learning in the neural network
Keywords :
backpropagation; feature extraction; feedforward neural nets; optical character recognition; backpropagation; feature extraction; feedforward neural network; learning; noisy data; optical character recognition; Artificial neural networks; Character recognition; Feature extraction; Histograms; Neural networks; Optical character recognition software; Optical computing; Optical devices; Optical fiber networks; Pixel;
Conference_Titel :
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-3280-6
DOI :
10.1109/ICSMC.1996.565506
