DocumentCode :
3023968
Title :
Online Chinese character recognition system with handwritten Pinyin input
Author :
Ge, Yong ; GUO, Feng-Jun ; Zhen, Li-Xin ; CHEN, Qing-Shan
Author_Institution :
Motorola Labs., China Res. Center, China
fYear :
2005
fDate :
29 Aug.-1 Sept. 2005
Firstpage :
1265
Abstract :
We have developed a novel online Chinese handwriting recognition system that can recognize a Chinese character either by its handwritten script or by its handwritten Pinyin syllable. The new system is particularly useful when the user forgets how to write the desired character or when the desired character is too complex to be written conveniently. To assure the accuracy and robustness, several classifiers with different characteristics are integrated. The experimental results show that we have achieved an accuracy of 92.5% for 6763-class freely-written Chinese characters and 87.1% for 412-class unconstrained-style Pinyin syllables.
Keywords :
handwritten character recognition; natural languages; handwriting recognition system; handwritten Pinyin input; handwritten Pinyin syllable; online Chinese character recognition system; Character recognition; Handwriting recognition; Pattern recognition; Robustness; Shape; Switches; Text analysis; Usability; Vocabulary; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
ISSN :
1520-5263
Print_ISBN :
0-7695-2420-6
Type :
conf
DOI :
10.1109/ICDAR.2005.179
Filename :
1575745
Link To Document :
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