Use of Dynamic Time Warping for Object Shape Classification through Signature

Authors

  • KC Santosh Institut National de Recherche en Informatique et en Automatique (INRIA), LORIA - Campus Scientifique -BP 239 - 54506 Vandoeuvre-les-Nancy Cedex

DOI:

https://doi.org/10.3126/kuset.v6i1.3308

Keywords:

Signature, Dynamic Time Warping, Uniform Scaling

Abstract

This paper expresses an application of similarity matching of the signatures through DTW.
Fundamental aspect of classification is template matching. The classification is robust to
noise, scaling, and rotation. Feature includes radius plus angle along the boundary points with
respect to center of gravity. The classification automatically and confidently discloses the
shape of every object at once throughout page from top to bottom. The paper expresses its
promising results within an average of a few seconds (cheaper classification) for an object. A
series of tests is done with all possible configurations of geometrical shapes.

Keywords: Signature; Dynamic Time Warping; Uniform Scaling

DOI: 10.3126/kuset.v6i1.3308

Kathmandu University Journal of Science, Engineering and Technology Vol.6(1) 2010, pp33-49

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How to Cite

Santosh, K. (2010). Use of Dynamic Time Warping for Object Shape Classification through Signature. Kathmandu University Journal of Science, Engineering and Technology, 6(1), 33–49. https://doi.org/10.3126/kuset.v6i1.3308

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Section

Original Research Articles