A study of on-line handwritten chemical expressions recognition

In this paper, we study the major modules of on-line handwritten chemical expressions recognition. We propose a novel two-level algorithm to recognize expressions. In the first level, structural information is used to distinguish different parts and recognize substances. Then the algorithm segments expressions fatherly and recognizes isolated symbols. To meet the demand of actual applications, the paper also designs an XML-based system to help users save, modify and search the recognition result. The experiment shows that the presented algorithm is reliable.