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    Model-based character recognition in low resolution

    Access Status
    Fulltext not available
    Authors
    Kuhl, Annika
    Tan, Tele
    Venkatesh, Svetha
    Date
    2008
    Type
    Conference Paper
    
    Metadata
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    Citation
    Kuhl, A. and Tan, T. and Venkatesh, S. 2008. Model-based character recognition in low resolution, in 15th IEEE International Conference on Image Processing, Oct 12-15 2008, pp. 1001-1004. San Diego: IEEE.
    Source Title
    2008 15th IEEE International conference on image processing
    Source Conference
    2008 15th IEEE International conference on image processing
    DOI
    10.1109/ICIP.2008.4711926
    ISBN
    9781424417643
    School
    Department of Computing
    URI
    http://hdl.handle.net/20.500.11937/24471
    Collection
    • Curtin Research Publications
    Abstract

    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.

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