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Model-based character recognition in low resolution

Kuhl, Annika, Tan, Tele and Venkatesh, Svetha 2008, Model-based character recognition in low resolution, in ICIP 2008 : Proceedings of the International Conference on Image Processing, IEEE, Piscataway, N. J., pp. 1001-1004.

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Title Model-based character recognition in low resolution
Author(s) Kuhl, Annika
Tan, Tele
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Conference name International Conference on Image Processing (2008 : San Diego, Calif.)
Conference location San Diego, Calif.
Conference dates 12-15 Oct. 2008
Title of proceedings ICIP 2008 : Proceedings of the International Conference on Image Processing
Editor(s) [Unknown]
Publication date 2008
Conference series International Conference on Image Processing
Start page 1001
End page 1004
Total pages 4
Publisher IEEE
Place of publication Piscataway, N. J.
Keyword(s) number plate recognition
optical character recognition
text processing
Summary We propose a combined character separation and recognition approach for low-resolution images of alphanumeric text. By synthesising the image formation process a set of low-resolution templates is created for each character. Cluster algorithms and normalised cross-correlation are then applied to match these templates and thereby allowing both character separation and recognition to be achieved at the same time. Thus characters are recognised using their low-resolution appearance only without applying image enhancement methods. Experiments showed that this approach is able to recognise low-resolution alphanumeric text of down to 5 pixels in size.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 1424417651
9781424417650
ISSN 1522-4880
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2008, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044570

Document type: Conference Paper
Collections: School of Information Technology
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