Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2 Representing and Characterizing Handwritten Mathematical Symbols through Succinct Functional Approximation Curitiba, Parana, Brazil September 23-September 26 ISBN: 0-7695-2822-8
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.
Citation:
Bruce W. Char, Stephen M. Watt, "Representing and Characterizing Handwritten Mathematical Symbols through Succinct Functional Approximation," icdar, vol. 2, pp.1198-1202, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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