Abstract
A growing interest in the document analysis field is the recognition of old handwritten documents, towards the conversion into a readable format. The difficulties when we work with old documents are increased, and other techniques are required for recognizing handwritten graphical symbols that are drawn in such these documents. In this paper we present a Dynamic Time Warping based method that outperforms the classical descriptors, being also invariant to scale, rotation, and elastic deformations typical found in handwriting musical notation.
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Fornés, A., Lladós, J., Sánchez, G. (2008). Old Handwritten Musical Symbol Classification by a Dynamic Time Warping Based Method. In: Liu, W., Lladós, J., Ogier, JM. (eds) Graphics Recognition. Recent Advances and New Opportunities. GREC 2007. Lecture Notes in Computer Science, vol 5046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88188-9_6
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DOI: https://doi.org/10.1007/978-3-540-88188-9_6
Publisher Name: Springer, Berlin, Heidelberg
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