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2005
IEEE

Recognition for Large Sets of Handwritten Mathematical Symbols

9 years 5 months ago
Recognition for Large Sets of Handwritten Mathematical Symbols
Natural and convenient mathematical handwriting recognition requires recognizers for large sets of handwritten symbols. This paper presents a recognition system for such handwritten mathematical symbols. We use a pre-classification strategy, in combination with elastic matching, to improve recognition speed. Elastic matching is a model-based method that involves computation proportional to the set of candidate models. To solve this problem, we prune prototypes by examining character features. To this end, we have defined and analyzed different features. By applying these features into an elastic recognition system, the recognition speed is improved while maintain high recognition accuracy.
Stephen M. Watt, Xiaofang Xie
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICDAR
Authors Stephen M. Watt, Xiaofang Xie
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