Patel et al. present a number of features to use discriminating between text and shape. They use a decision tree with the features. Similar to other approaches, the accuracy is biased toward text strokes, but the Patel system improves on previous systems.
The Patel et al. system is very simple and computationally efficient, yet it performs the best out of all systems compared. I would have liked to see more discussion of why the authors chose to use rpart instead of other decision tree algorithms like C4.5 or algorithms specifically intended for feature subset selection.
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