23. Using Entropy to Distinguish Shape versus Text in Hand-Drawn Diagrams

author: Tracy Hammond, Department of Computer Science and Engineering, Texas A&M University
author: Akshay Bhat, Department of Computer Science and Engineering, Texas A&M University
published: June 20, 2009,   recorded: May 2009,   views: 215
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Description

Most sketch recognition systems are accurate in recognizing either text or shape (graphic) ink strokes,but not both. Distinguishing between shape and text strokes is, therefore, a critical task in recognizing hand-drawn digital ink diagrams that contain text labels and annotations. We have found the entropy rate to be an accurate criterion of classification. We found that the entropy rate is significantly higher for text strokes compared to shape strokes and can serve as a distinguishing factor between the two. The paper has been accepted for publication in the 2009 IJCAI proceedings. This video shows our system in action. Please visit our lab here -> http://srlweb.cs.tamu.edu/srlng/home.

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Reviews and comments:

Comment1 Pooja, December 17, 2009 at 7:34 a.m.:

thats good..

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