Title :
Handwritten Chinese Similar Characters Recognition Based On AdaBoost
Author_Institution :
South China Univ.of Technol., Guangzhou
Abstract :
As an effective statistical learning tool, AdaBoost has been widely used in the field of pattern recognition. Considering the large categories of Chinese characters and the recognition rate is low for similar character set, we propose a two-stage booting based scheme for Chinese character recognition. The AdaBoost procedure is applied to the similar character sets´ recognition after the traditional distance classifier. Experimental results show that AdaBoost is much better than conventional distance classifier.
Keywords :
handwriting recognition; handwritten character recognition; image classification; learning (artificial intelligence); natural languages; statistical analysis; AdaBoost statistical learning tool; handwritten Chinese similar characters recognition; traditional distance classifier; two-stage booting scheme; Boosting; Character recognition; Educational institutions; Pattern recognition; Statistical learning; AdaBoost; AdaBoost.MH; Hand-Written Chinese Characters Recognition; Similar Characters; Weak Learners;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347361
