A Method for Separating On-line Handwritten Patterns Including Characters, Figures and Formulas

摘要

This paper describes a method for separating on-line handwritten patterns into characters, figures and formulas. We apply a probabilistic model for this problem and employ stroke features, stroke crossings and stroke densities. Moreover, we partially apply the approach of segmentation by recognition. Although the current recognizer for formulas is not a true recognizer, we have achieved about 81% correct segmentation for all the strokes in our newly prepared database of the mixed patterns from these objects.