DocumentCode :
2148126
Title :
An Empirical Evaluation on HIT-OR3C Database
Author :
Zhou, Shusen ; Chen, Qingcai ; Wang, Xiaolong ; Guo, Xinyi ; Li, Hui
Author_Institution :
Shenzhen Grad. Sch., Harbin Inst. of Technol., Shenzhen, China
fYear :
2011
fDate :
18-21 Sept. 2011
Firstpage :
1150
Lastpage :
1154
Abstract :
Recently, we have proposed a handwriting Chinese character database HIT-OR3C. Though it has been introduced in detail, to date, it has not been evaluated by any handwriting recognition method. To help the researchers use this database for algorithm evaluation, we propose the structure of HIT-OR3C database. Moreover, we evaluate the OR3C database with a series of experiments using state-of-the-art handwriting recognizer. These experiment results on the different subsets can be a benchmark for the researchers who will use the database. The low average recognition rate confirms that the HIT-OR3C database is challenging.
Keywords :
database management systems; handwriting recognition; handwritten character recognition; natural languages; handwriting Chinese character HIT-OR3C database; handwriting recognition method; low average recognition rate; Accuracy; Character recognition; Databases; Feature extraction; Handwriting recognition; Training; Vectors; Chinese character; Chinese document; HIT-OR3C; online and offline handwriting recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2011 International Conference on
Conference_Location :
Beijing
ISSN :
1520-5363
Print_ISBN :
978-1-4577-1350-7
Electronic_ISBN :
1520-5363
Type :
conf
DOI :
10.1109/ICDAR.2011.232
Filename :
6065490
Link To Document :
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