Chinese Calligraphy Character Image Recognition and Its Applications in Web and Wechat Applet Platform-Reference-Cited by-同舟云学术

Chinese Calligraphy Character Image Recognition and Its Applications in Web and Wechat Applet Platform

Published:2020-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020
language:
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Author:

Pang Bingyao¹,Wu Jiangqin¹

Affiliation:

1. Zhejiang University, Hangzhou, China

Funder

the National Nature Science Foundation of China(No.61379073)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3383583.3398516

Reference15 articles.

1. Beyond human recognition: A CNN-based framework for handwritten character recognition

2. Dan Cirecs an Ueli Meier and Jürgen Schmidhuber. 2012. Multi-column deep neural networks for image classification. arXiv preprint arXiv:1202.2745 (2012). Dan Cirecs an Ueli Meier and Jürgen Schmidhuber. 2012. Multi-column deep neural networks for image classification. arXiv preprint arXiv:1202.2745 (2012).

3. Gu Gang. 2017. Research and Application on Key Algorithms of Chinese Character Recognition. Master's thesis. Zhejiang University. Gu Gang. 2017. Research and Application on Key Algorithms of Chinese Character Recognition. Master's thesis. Zhejiang University.

4. CADAL digital calligraphy system

5. Deep Residual Learning for Image Recognition

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