Abstract: A method for recognizing gesture strokes in user input applied onto an electronic document, comprising: receiving data based on the user input, the data representing a stroke and comprising a plurality of ink points and a plurality of timestamps associated with the plurality of ink point; segmenting the plurality of ink points into a plurality of segments each corresponding to a respective sub-stroke and comprising a respective subset of the plurality of ink points; determining a scale of the electronic document; generating a plurality of feature vectors based on the plurality of segments; normalizing a subset of the feature vectors according to the scale; and applying the plurality of feature vectors to a trained stroke classifier to generate a vector of probabilities including a probability that the stroke is a non-gesture stroke and a probability that the stroke is a given gesture stroke of a set of gesture types.