Old Handwritten Musical Symbol Classification by a Dynamic Time Warping Based Method

Authors:
Alicia Fornés;Josep Lladós;Gemma Sánchez
Affiliations:
Computer Vision Center, Dept. of Computer Science, Universitat Autònoma de Barcelona, Bellaterra, Spain 08193;Computer Vision Center, Dept. of Computer Science, Universitat Autònoma de Barcelona, Bellaterra, Spain 08193;Computer Vision Center, Dept. of Computer Science, Universitat Autònoma de Barcelona, Bellaterra, Spain 08193
Venue:
Graphics Recognition. Recent Advances and New Opportunities
Year:
2008

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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.