NPen/sup ++/: a writer independent, large vocabulary on-line cursive handwriting recognition system
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چکیده
In this paper we describe the NPen++ system for wri ter independent on-line handwriting recognition. This recognizer needs no training for a particular wr i te r and can recognize any common writing style (cursive, hand-printed, or a mixture of both). The neural network architecture, which was originally proposed for continuous speech recognition tasks, and the preprocessing techniques of NPen++ are designed to make heavy use of the dynamic writing inforrnation, i.e. the temporal sequence of data points recorded on a LCD tablet or digitizer. We present results for the wr i t e r independent recognition of isolated words. Tested on different dictionary sizes from 1,000 up to 100,000 words, recognition rates range from 98.0% for the 1,000 word dictionary to 91.4% on a 20,000 word dictionary and 82.9% for the 100,000 word dictionary. N o language models are used t o achieve these results.
منابع مشابه
NPen++: A Writer Independent, Large Vocabulary On-Line Cursive Handwriting Recognition System
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تاریخ انتشار 1995