ICDAR 2013 chinese handwriting recognition competition

Fei Yin, Qiu Feng Wang, Xu Yao Zhang, Cheng Lin Liu

Research output: Contribution to journalConference articlepeer-review

171 Citations (Scopus)

Abstract

This paper describes the Chinese handwriting recognition competition held at the 12th International Conference on Document Analysis and Recognition (ICDAR 2013). This third competition in the series again used the CASIA-HWDB/OLHWDB databases as the training set, and all the submitted systems were evaluated on closed datasets to report character-level correct rates. This year, 10 groups submitted 27 systems for five tasks: classification on extracted features, online/offline isolated character recognition, online/offline handwritten text recognition. The best results (correct rates) are 93.89% for classification on extracted features, 94.77% for offline character recognition, 97.39% for online character recognition, 88.76% for offline text recognition, and 95.03% for online text recognition, respectively. In addition to the test results, we also provide short descriptions of the recognition methods and brief discussions on the results.

Original languageEnglish
Article number6628856
Pages (from-to)1464-1470
Number of pages7
JournalProceedings of the International Conference on Document Analysis and Recognition, ICDAR
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event12th International Conference on Document Analysis and Recognition, ICDAR 2013 - Washington, DC, United States
Duration: 25 Aug 201328 Aug 2013

Keywords

  • CASIA-HWDB/OLHWDB database
  • Chinese handwriting recognition competition
  • handwritten text recognition
  • isolated character recongition
  • offline
  • online

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