Online stroke modeling for handwriting recognition
CASCON '08 Proceedings of the 2008 conference of the center for advanced studies on collaborative research: meeting of minds
Confidence Measures in Recognizing Handwritten Mathematical Symbols
Calculemus '09/MKM '09 Proceedings of the 16th Symposium, 8th International Conference. Held as Part of CICM '09 on Intelligent Computer Mathematics
Toward affine recognition of handwritten mathematical characters
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Improved classification through runoff elections
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Polynomial approximation in handwriting recognition
Proceedings of the 2011 International Workshop on Symbolic-Numeric Computation
Determining points on handwritten mathematical symbols
CICM'13 Proceedings of the 2013 international conference on Intelligent Computer Mathematics
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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.