NDLI: Stroke encoded Chinese handwriting input system based on back-propagation networks

Content Provider	IEEE Xplore Digital Library
Author	Kwok-Wah Hung Wing-Chung Chan
Copyright Year	1993
Description	Author affiliation: Dept. of Comput., Hong Kong Polytech., Kowloon, Hong Kong (Kwok-Wah Hung; Wing-Chung Chan)
Abstract	We have developed an on-line Chinese handwriting input system using artificial neural network technique. A digitizer tablet with a stylus is used for writing Chinese characters as input to the system. The character strokes and their writing sequences are captured by the system. A backpropagation network is designed and implemented to recognize and classify these basic strokes rather than the whole set of Chinese characters. Due to the simplicity of the basic strokes, a backpropagation network with few neurons is sufficient for training and recognizing purpose. A new stroke encoding rule is proposed for representing a Chinese character in terms of some basic strokes. This system attained a recognition rate of 94% for basic strokes and an overall recognition rate of 70% for Chinese characters within 1 second using a personal computer.
Starting Page	1106
Ending Page	1109
File Size	245840
Page Count	4
File Format	PDF
ISBN	0780312333
DOI	10.1109/TENCON.1993.320068
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-10-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neurons Artificial neural networks Character recognition Encoding Writing Keyboards Computer networks Electronic mail Microcomputers Handwriting recognition
Content Type	Text
Resource Type	Article

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