DocumentCode :
153332
Title :
Historical Chinese Character Recognition Method Based on Style Transfer Mapping
Author :
Bohan Li ; Liangrui Peng ; Jingning Ji
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear :
2014
fDate :
7-10 April 2014
Firstpage :
96
Lastpage :
100
Abstract :
Historical Chinese character recognition has been a challenging topic in pattern recognition field because of large character set, various writing styles and lack of training samples. In this paper, we adopted Style Transfer Mapping (STM) method to historical Chinese character recognition. Optimal selection of parameters was discussed. Two sets of experiments were conducted. The first set of experiment was designed to test the performance of STM on different font styles by using available printed traditional Chinese characters. The second set of experiment was carried out on samples extracted from practical historical Chinese documents. Experimental results showed that supervised STM may improve the generalization ability of the classifier.
Keywords :
character recognition; document image processing; natural language processing; Chinese documents; STM method; historical Chinese character recognition method; pattern recognition field; style transfer mapping method; supervised STM; training sample; writing style; Character recognition; Error analysis; Feature extraction; Noise; Training; Vectors; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis Systems (DAS), 2014 11th IAPR International Workshop on
Conference_Location :
Tours
Print_ISBN :
978-1-4799-3243-6
Type :
conf
DOI :
10.1109/DAS.2014.33
Filename :
6830977
Link To Document :
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