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Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04)
Distinguishing Text from Graphics in On-Line Handwritten Ink
Kokubunji, Tokyo, Japan
October 26-October 29
ISBN: 0-7695-2187-8
Christopher M. Bishop, Microsoft Research
Markus Svensén, Microsoft Research
Geoffrey E. Hinton, University of Toronto
We present a system that separates text from graphics strokes in handwritten digital ink. It utilizes not just the characteristics of the strokes, but also the information provided by the gaps between the strokes, as well as the temporal characteristics of the stroke sequence. It is built using machine learning techniques that infer the internal parameters of the system from real digital ink, collected using a Tablet PC.
Citation:
Christopher M. Bishop, Markus Svensén, Geoffrey E. Hinton, "Distinguishing Text from Graphics in On-Line Handwritten Ink," iwfhr, pp.142-147, Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04), 2004
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