COMMENTS:
Amir
SUMMARY:
This paper discusses a method of using the entropy rate (or the degree of randomness) of a stroke to distinguish between text and shape. The authors created an entropy model by selecting a set of alphabetic symbols and assigning a range of angles of the temporally ajoining points in the strokes. With the assumption that text symbols will be drawn inquick succession, a time threshold was also established in order to group together strokes belonging to text. When tested on free body diagrams, this method classification accuracy was 92.06%.
DISCUSSION:
This is a very interesting paper that presents a solution to the problem addressed in the Plimmer paper. However, this approach uses one feature to distinguish between text and shape instead of many and maintains a comparable accuracy rate. I would have like to know how and why the symbols A-F and X were chosen for the alphabet as opposed to other letters or symbols.
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