COMMENTS:
SUMMARY:
This paper discusses a method of using ink features to distinguish between text and shapes in a diagram. The authors used tree-based partitioning to identify the significant stroke features out of 46 possibilities. These features are used to identify the stroke as part of either a shape or text. When compared to the Microsoft divider and the divider in the sketching tool, InkKit, this new divider had the lowest misclassification rates for both shapes and text.
DISCUSSION:
This is a very valuable contribution in terms of text identification as I have not read very many papers on the subject. I don't know if I would go so far as to call this text recognition as the authors do because it appears that this work does not address any meaning assigned to the text. However, I agree that accurately differentiating between text and shapes is the first step toward text recognition.
I agree the recognition itself is not covered, this is more of a prerecognition process. However this enables modularity to select the preferred shape and text recognizer, from which there are many to choose from.
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