DocumentCode
1651898
Title
Handwritten Chinese Similar Characters Recognition Based On AdaBoost
Author
Zhang Bin
Author_Institution
South China Univ.of Technol., Guangzhou
fYear
2007
Firstpage
576
Lastpage
579
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CHICC.2006.4347361
Filename
4347361
Link To Document