Abstract
This paper describes a new efficient algorithm for elastic template matching. The algorithm is based on a coarse to fine matching strategy which iteratively improves the correspondence between images. The high cost of elastic matching is greatly reduced by incorporating efficient techniques for image representation and search. Recognition accuracy of 99% was achieved when using the elastic technique for handprinted character recognition.
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References
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© 1983 Springer-Verlag Berlin Heidelberg
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Burr, D.J. (1983). Matching Elastic Templates. In: Braddick, O.J., Sleigh, A.C. (eds) Physical and Biological Processing of Images. Springer Series in Information Sciences, vol 11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-68888-1_18
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DOI: https://doi.org/10.1007/978-3-642-68888-1_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-68890-4
Online ISBN: 978-3-642-68888-1
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