ICDAR 2011 Chinese Handwriting Recognition Competition

被引：60

作者：

Liu, Cheng-Lin ^{[1
]}

Yin, Fei ^{[1
]}

Wang, Qiu-Feng ^{[1
]}

Wang, Da-Han ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China

来源：

11TH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR 2011) | 2011年

关键词：

Chinese handwriting recognition competition; isolated character recongition; handwritten text recognition; offline; online; CHARACTER-RECOGNITION; NORMALIZATION;

D O I：

10.1109/ICDAR.2011.291

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the Chinese handwriting recognition competition organized with the ICDAR 2011, four tasks were evaluated: offline and online isolated character recognition, offline and online handwritten text recognition. To enable the training of recognition systems, we announced the large databases CASIA-HWDB/OLHWDB. The submitted systems were evaluated on un-open datasets to report character-level correct rates. In total, we received 25 systems submitted by eight groups. On the test datasets, the best results (correct rates) are 92.18% for offline character recognition, 95.77% for online character recognition, 77.26% for offline text recognition, and 94.33% for online text recognition, respectively. In addition to the evaluation results, we provide short descriptions of the recognition methods and have brief discussions.

引用

页码：1464 / 1469

页数：6

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