Techniques for static handwriting trajectory recovery: a survey
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
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This paper proposes a model for recovering writing sequence from offline handwritten Chinese character image. In this model, a 4-layer hierarchy is presented to model Chinese character, where characters, components, subcomponents and strokes are located at each layer, respectively. Characters are decomposed to components and components are decomposed to subcomponents in turn by four decomposing operators. The totally-ordered relations among subcomponents are retrieved by defining the corresponding rules between decomposed relations and a partially-ordered set (poset) of subcomponents, and the writing orders of subcomponent are recovered by classifying strokes and crossing stroke pairs. Finally, experimental results show that our method is effective and accurate.