10. A computer readable medium encoded with a computer program for distinguishing between text strokes and non-text strokes in digital ink, the computer process comprising: detecting a stroke in the digital ink; generating a classification model based on at least one stroke feature of the stroke, wherein the model defines a posterior probability that the stroke is a text stroke; labeling the stroke as a text stroke or a non-text stroke based on the posterior probability; dividing the stroke into fragments at points corresponding to local maxima in the curvature of the stroke; and detecting the at least one stroke feature of the stroke as a total absolute curvature of the largest fragment of the stroke in the digital ink.
10. A computer readable medium encoded with a computer program for distinguishing between text strokes and non-text strokes in digital ink, the computer process comprising: detecting a stroke in the digital ink; generating a classification model based on at least one stroke feature of the stroke, wherein the model defines a posterior probability that the stroke is a text stroke; labeling the stroke as a text stroke or a non-text stroke based on the posterior probability; dividing the stroke into fragments at points corresponding to local maxima in the curvature of the stroke; and detecting the at least one stroke feature of the stroke as a total absolute curvature of the largest fragment of the stroke in the digital ink. 12. The computer readable medium of claim 10 wherein the computer process further comprises: detecting the at least one stroke feature of the stroke as a total absolute curvature of the stroke in the digital ink.