Summary
This paper brings up the shape vs text discussion again by handling it from entropy side, which is a degree of a randomness in a source. Text strokes have generally higher entropy than the shape strokes and the paper is based on this idea.It introduces an entropy model alphabet, which stores the degree of curvature each letter goes through and measures the density based on the bbox of letters. The method had %92 overall accuracy in distinguishing text.
Discussion
I believe that this paper does a better job than ink features handling this problem. I think entropy should be the way to go when it comes to distinguishing texts from shapes.
Entropy is a pretty new idea. I am just wondering if it can be messed up with some other, like small complex shapes.
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