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中国图象图形学报 2010
Recognition and analysis of online handwritten chemical formulas
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Abstract:
With the development of mobile devices, the pen-based input mode has provided the possibility to use and share chemical knowledge easily. As an application of ubiquitous computing, research on online handwritten chemical formulas becomes a hot area. In this paper, we conclude common relations between chemical symbols and segment a chemical formula after linking the broken strokes. Then a two-level classifier is used to recognize the isolated symbols and the formula is understood with some chemical rules. The experimental results show that our method is robust and feasible when used on Tablet PCs.