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2013 12th International Conference on Document Analysis and Recognition (2007)
Curitiba, Parana, Brazil
Sept. 23, 2007 to Sept. 26, 2007
ISSN: 1520-5363
ISBN: 0-7695-2822-8
pp: 1198-1202
Stephen M. Watt , University of Western Ontario
Bruce W. Char , Drexel University, Philadelphia, PA
ABSTRACT
We model on-line ink traces for a set of 219 symbols to "best fit" low-degree polynomial series. Using a collection of mathematical writing samples, we find that in many cases this provides a succinct way to model the stylus movements of actual test users. Furthermore, even without further similarity-processing, the polynomial coefficients from the writing samples form clusters which often contain the same character as written by different users. We find this style of characterization to be an attractive tool due to the suitability of the representation to computation and mathematical analysis.
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CITATION
Stephen M. Watt, Bruce W. Char, "Representing and Characterizing Handwritten Mathematical Symbols through Succinct Functional Approximation", 2013 12th International Conference on Document Analysis and Recognition, vol. 02, no. , pp. 1198-1202, 2007, doi:10.1109/ICDAR.2007.218
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