Rough Sets in Optical Character Recognition

Witold Czajewski

Abstract

The paper presents an attempt to apply the Rough Sets Theory to Optical Character Recognition. In this approach specific characters’ features are referred to as an information system, from which the most important information is being extracted by the Rough Sets Theory. This process is fully automatic and does not require any human decision in the area of usefulness of certain characters’ features. A discernibility matrix which is built in this way constitutes a reduced database for classification algorithms. A brief description of Classical Optical Character Recognition Theory and Rough Sets Theory as well as some selected research and experimental results are also presented.
Author Witold Czajewski ISEP
Witold Czajewski,,
- The Institute of Control and Industrial Electronics
Pages601-604
Book Polkowski Lech, Skowron Andrzej (eds.): Rough Sets and Current Trends in Computing, Lecture Notes In Computer Science, no. 1424, 1998, Springer Berlin Heidelberg, ISBN 978-3-540-64655-6, 978-3-540-69115-0
Keywords in EnglishArtificial Intelligence (incl. Robotics), Computation by Abstract Devices, Image Processing and Computer Vision, Mathematical Logic and Formal Languages
URL http://link.springer.com/chapter/10.1007/3-540-69115-4_84
Languageen angielski
Score (nominal)7
Citation count*3 (2018-02-21)
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