• 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