Back-Propagation Artificial Neural Network Techniques for~ Optical Character Recognition- A Survey

Ike, Dike U. and Adoghe, A. U. (2013) Back-Propagation Artificial Neural Network Techniques for~ Optical Character Recognition- A Survey. International Journal of Computers and Distributed Systems, 3 (II). pp. 1-6. ISSN 2278-5183

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Abstract

Character recognition, a digitization concept, is an important research area in the field of image processing, and pattern recognition. Optical character recognition is a method of digitizing printed texts so that they can be searched electronically, stored compactly and used in machine processes such as text-to-speech, and machine translation. This paper describes the techniques for converting a type or handwritten document into machine readable form using BackPropagation Artificial Neural Networks.

Item Type:	Article
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Mrs Hannah Akinwumi
Date Deposited:	23 Mar 2015 14:32
Last Modified:	23 Mar 2015 14:32
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/4178

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