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DAS
2010
Springer

Toward affine recognition of handwritten mathematical characters

11 years 8 months ago
Toward affine recognition of handwritten mathematical characters
We address the problem of handwritten symbol classification in the presence of distortions modeled by affine transformations. We consider shear, rotation, scaling and translation, since these types of transformations occur most often in practice, and focus most on shear within this framework. We present a distance-based classification method, in which feature vectors are constructed from Legendre-Sobolev expansions of the coordinate functions and of the affine integral invariants of the curves given by the symbol's ink strokes. We analyze different size normalization methods and conclude that integral invariants provide the most robust norm. Finally, we propose a new parameterization, a combination of arc length and time, insensitive to variations in curve tracing speed and affine distortion.
Oleg Golubitsky, Vadim Mazalov, Stephen M. Watt
Added 02 Sep 2010
Updated 02 Sep 2010
Type Conference
Year 2010
Where DAS
Authors Oleg Golubitsky, Vadim Mazalov, Stephen M. Watt
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