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This paper improves the image classification task based on deep learning and proposes a new font grading system to help calligraphy lovers to practice calligraphy. The basic model of the framework proposed in this paper is ResNet, and then dilated convolution, deformable convolutional, and deformable pooling are used on the traditional ResNet to improve performance. Experimental results show that the proposed algorithm can make a reasonable judgment on handwriting. © Springer Nature Singapore Pte Ltd. 2020.
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ISSN: 2190-3018
Year: 2020
Volume: 157
Page: 443-450
Language: English
Cited Count:
WoS CC Cited Count: 0
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ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 2
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