Summary
Protractor, by Yang Li, introduces a template based recognizer just like $1 recognizer, but with a twist: The angle of the vector from centroid to the sample point is used for error computation instead of distance. The protractor consumes less memory and time than $1 recognizer. The algorithm is stated to be suitable for mobile devices
Discussion
Angle might seem to be a better metric than position at first sight, but there is the fact that a stoke point on the same vector will give the same angle regardless of its position which may cause error in recognition.
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