Application of artificial neural network model for optical character recognition

Author

Mani, Nallasamy ; Srinivasan, Bala

Author_Institution

Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia

Volume

3

fYear

1997

fDate

12-15 Oct 1997

Firstpage

2517

Abstract

Many artificial neural network models (ANNs) have been proposed to mimic the human brain in solving problems involving human-like intelligence. An application of an artificial neural network approach for optical character recognition (OCR) is discussed in this paper. We examine a simple pattern-recognition system using an artificial neural network to simulate character recognition. A simple feedforward neural network model has been trained with different sets of noisy data. The backpropagation method is used for learning in the neural network

Keywords

backpropagation; feature extraction; feedforward neural nets; optical character recognition; artificial neural network model; backpropagation method; optical character recognition; pattern-recognition system; simple feedforward neural network model; Artificial intelligence; Artificial neural networks; Biological neural networks; Brain modeling; Character recognition; Humans; Intelligent networks; Optical character recognition software; Optical computing; Optical fiber networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on

Conference_Location

Orlando, FL

ISSN

1062-922X

Print_ISBN

0-7803-4053-1

Type

conf

DOI

10.1109/ICSMC.1997.635312

Filename

635312