An End-End Method for Handwritten Xibo Font Generation
Pages 662 - 668
Abstract
The generation of handwritten Xibo characters is a key step to explore the secrets of this original text. At the same time, it is also a scientific aid to the current task of rescuing and protecting Xibo characters. Based on the peculiarities of the structure of the Xibo characters, the prevailing customs of plagiarism from generation to generation, and the reasons for the difficulty of obtaining them at present, the generation of handwritten Xibo characters is a very challenging task. Based on the development of existing handwritten fonts in the field of machine learning, combined with the characteristics of the collected handwritten Xibo font data set, we propose to use a generative adversarial network to try to generate handwritten Xibo fonts. Try the existing generative adversarial network models, they are uncomfortable with the task of generating handwritten Xibo characters. Therefore, this paper proposes a feature adversarial generative model combined with an autoencoder. Using this model to generate handwritten Xibo fonts, the experimental results show that this model can stably generate various handwritten Xibo font images.
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Published In
September 2021
715 pages
ISBN:9781450384087
DOI:10.1145/3488933
Copyright © 2021 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 25 February 2022
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AIPR 2021
AIPR 2021: 2021 4th International Conference on Artificial Intelligence and Pattern Recognition
September 24 - 26, 2021
Xiamen, China
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