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
fDate :
29 Aug.-1 Sept. 2005
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;
Conference_Titel :
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
Print_ISBN :
0-7695-2420-6
DOI :
10.1109/ICDAR.2005.179