DocumentCode
3390636
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
Volume
3
fYear
1996
fDate
14-17 Oct 1996
Firstpage
2244
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location
Beijing
ISSN
1062-922X
Print_ISBN
0-7803-3280-6
Type
conf
DOI
10.1109/ICSMC.1996.565506
Filename
565506
Link To Document