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Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04)
Contextual Recognition of Hand-Drawn Diagrams with Conditional Random Fields
Kokubunji, Tokyo, Japan
October 26-October 29
ISBN: 0-7695-2187-8
Martin Szummer, Microsoft Research
Yuan Qi, Microsoft Research

Hand-drawn diagrams present a complex recognition problem. Fragments of the drawing are often individually ambiguous, and require context to be interpreted.

We present a recognizer based on conditional random fields (CRFs) that jointly analyze all drawing fragments in order to incorporate contextual cues. The classification of each fragment influences the classification of its neighbors. CRFs allow flexible and correlated features, and take temporal information into account. Training is done via conditional MAP estimation that is guaranteed to reach the global optimum. During recognition we propagate information globally to find the joint MAP or maximum marginal solution for each fragment. We demonstrate the framework on a container versus connector recognition task.

Citation:
Martin Szummer, Yuan Qi, "Contextual Recognition of Hand-Drawn Diagrams with Conditional Random Fields," iwfhr, pp.32-37, Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04), 2004
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