Title :
Stroke encoded Chinese handwriting input system based on back-propagation networks
Author :
Kwok-Wah Hung ; Wing-Chung Chan
Author_Institution :
Dept. of Comput., Hong Kong Polytech., Kowloon, Hong Kong
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.<>
Keywords :
backpropagation; character recognition; encoding; neural nets; artificial neural network technique; backpropagation networks; character strokes; digitizer tablet; stroke encoded Chinese handwriting input system; stroke encoding rule; stylus; writing sequences; Artificial neural networks; Character recognition; Computer networks; Electronic mail; Encoding; Handwriting recognition; Keyboards; Microcomputers; Neurons; Writing;
Conference_Titel :
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-1233-3
DOI :
10.1109/TENCON.1993.320068
