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Model-based character recognition in low resolution
conference contribution
posted on 2008-01-01, 00:00 authored by A Kuhl, T Tan, Svetha VenkateshSvetha VenkateshWe 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.
History
Event
International Conference on Image Processing (2008 : San Diego, Calif.)Pagination
1001 - 1004Publisher
IEEELocation
San Diego, Calif.Place of publication
Piscataway, N. J.Start date
2008-10-12End date
2008-10-15ISSN
1522-4880ISBN-13
9781424417650ISBN-10
1424417651Language
engNotes
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E1.1 Full written paper - refereedCopyright notice
2008, IEEETitle of proceedings
ICIP 2008 : Proceedings of the International Conference on Image ProcessingUsage metrics
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