Online and offline handwritten Chinese character recognition: A comprehensive study and new benchmark
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- 作者：Xu-Yao Zhanga ; xyz@nlpr.ia.ac.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Yoshua Bengiob ; yoshua.bengio@umontreal.ca" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Cheng-Lin Liua ; c ; liucl@nlpr.ia.ac.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Handwriting recognition ; Chinese characters ; Online ; Offline ; Directional feature map ; Convolutional neural network ; Adaptation
- 刊名：Pattern Recognition
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：61
- 期：Complete
- 页码：348-360
- 全文大小：1637 K
文摘
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Comprehensive study of handwritten Chinese character recognition (HCCR).
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New benchmarks for both online and offline HCCR under a general framework.
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Combination of convNet and domain-specific knowledge of directMap.
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Writer adaptation of deep convolutional neural networks.
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State-of-the-art performance on the ICDAR-2013 competition database.