= $1 Gesture Recognizer in python
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The $1 Gesture Recognizer is a research project by Wobbrock, Wilson and Li of
the University of Washington and Microsoft Research. It describes a simple
algorithm for accurate and fast recognition of drawn gestures.

Gestures can be recognised at any position, scale, and under any rotation.
The system requires little training, achieving a 97% recognition rate with 
only one template for each gesture.

Here, you can find a quick Python port of the JavaScript implementation.

If you spot any bugs, please let me know!

 = Usage:
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from dollar import Recognizer

r = Recognizer()
r.addTemplate('square', [(1, 10), (3, 8) ... ])
r.addTemplate('circle', [(4, 7), (5, 13) ... ])

(name, score) = r.recognize([(5, 6), (7, 12), ... ])

'name' will now contain the name of the closest-matching gesture, and 'score'
is a measure of the accuracy of or confidence in this match.

 = Files:
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 * dollar.py - The Recognizer class.
 * recognizer_demo.py - A quick demo application, using WxPython.



Screenshot of simple demo application.