This paper discusses a spatial approach for recognition that is quick and efficient. The strokes of the sketch are connected in a proximity graph, then a classifier determines if the strokes compose part of an already classified shape. The classifier only uses a small subset of the features (image, curvature and endpoints) to increase recognition speed.
Discussion
While this approach is very efficient at achieving recognition for the given set of shapes, it is not as flexible as a geometrically based recognizer. The first issue is that each gesture is limited to 6 strokes, which is fine for gesture recognition but is constraining in an actual sketch environment that is supposed to be free form. Secondly the classifier is based on non-deformable templates so objects like arrows must be drawn as the template specifies and cannot be shaped differently.
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