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 language | English |
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Article number | 6628856 |
Pages (from-to) | 1464-1470 |
Number of pages | 7 |
Journal | Proceedings of the International Conference on Document Analysis and Recognition, ICDAR |
DOIs | |
Publication status | Published - 2013 |
Externally published | Yes |
Event | 12th International Conference on Document Analysis and Recognition, ICDAR 2013 - Washington, DC, United States Duration: 25 Aug 2013 → 28 Aug 2013 |
Keywords
- CASIA-HWDB/OLHWDB database
- Chinese handwriting recognition competition
- handwritten text recognition
- isolated character recongition
- offline
- online