Handwriting Recognition in Java Technology
TS-3690

This session covers handwriting or gesture recognition in Java technology-based applications. It starts by explaining the underlying theory of recognition using a Hidden Markov Model (HMM) and gives an example designed with Java technology. It discusses many novel applications of this technology, such as math expression and shape recognition. Finally, it gives suggestions on how to incorporate recognition into an existing Swing-based product. Additional topics include fast lookup in a large recognition database, using Java Native Interface (JNI) to interface with native recognizers (such as Microsoft's excellent text recognizer for tablet PCs).

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