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