Ozgur
Summary:
This paper used an entropy idea that can distinguish text as high entropy from non-text information as low entropy. Entropy represents uncertainty measurement, small and complex shapes usually have larger entropy. Strokes are translated into a string of characters representing the angle that stroke is pointed. An entropy model has been introduced that can store the degree of curvature and measure the density. They have achieved a 92% recognition rate.
Discussion:
The idea of entropy is very interesting. However, I doubt the assumption that text has big entropy, since complex shape can also result in big entropy.
What kind of shape also results in big entropy?
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