Nada P. Matić, Synaptics
John C. Platt, Synaptics (current affiliation: CCSP Group, Microsoft Research)
Tony Wang, Synaptics (current affiliation: Nortel Networks)
International Conference on Pattern Recognition, (2002).
This paper presents QuickStroke: a system for the incremental recognition
of handwritten Chinese characters. Only a few strokes of an ideogram need to be
entered in order for a character to be successfully recognized. Incremental
recognition is a new approach for on-line recognition of ideographic
characters. It allows a user to enter characters a factor of 2 times faster
than systems that require entry of full characters. Incremental recognition is
performed by a two-stage system which utilizes 68 neural networks with more
than 5 million free parameters. To enable incremental recognition, we use
specialized time-delay neural networks (TDNNs) that are trained to recognize
partial characters. To boost the recognition accuracy of complete characters,
we also use standard fully-connected neural networks. Quickstroke is 97.3%
accurate for the incremental writer-independent recognition of 4400 simplified
GB Chinese ideograms.
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