Research of Artificial Neural Networks Abilities in Printed Words Recognition

This paper provides a brief overview on document analysis and recognition area, highlighting main steps and modules that are used to build recognition systems of the mentioned type. We underline basic workflow of such system down to the problem of single character recognition problem and highlightin...

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Bibliographic Details
Published inRīgas Tehniskās universitātes zinātniskie raksti. Scientific proceedings of Riga Technical university. 5. Sērija, Datorzinātne Vol. 44; no. IT and Management Science; p. 124
Main Authors Bondarenko, Andrejs, Borisovs, Arkadijs
Format Journal Article
LanguageEnglish
Latvian
Published Riga Riga Technical University 01.01.2010
Subjects
Artificial neural networks
Back propagation
Character recognition
Construction
Multilayer perceptrons
Neural networks
Recognition
Workflow
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Summary:This paper provides a brief overview on document analysis and recognition area, highlighting main steps and modules that are used to build recognition systems of the mentioned type. We underline basic workflow of such system down to the problem of single character recognition problem and highlighting possibilities and ways for artificial neural networks usage. Further we are conductinga formal comparison of abilities of printed characters recognition between two well known types of second generation neural networks, namely feed-forward back-propagation multilayer perceptron (MLP) and Kohonen self-organizing features map (SOM).
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ISSN:1407-7493