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- W4386858466 abstract "At present, people pay more and more attention to the protection and inheritance of Chinese intangible cultural heritage, and the Jiang Yong nvshu text in Yongzhou, Hunan Province, as a kind of female-specific text, embodies the real demand of women for spiritual freedom and cultural equality in traditional society. However, as fewer and fewer people learn and use the nvshu text, people know less and less about the culture of nvshu at present. Deep learning algorithms can be well used to identify and understand the nvshu character, so as to further protect and inherit nvshu culture. In this paper, we build the nvshu text classification dataset NTCD2023 (Nvshu Text Classification Dataset2023), which contains 137 common nvshu characters in 5 categories. Meanwhile, multiple deep learning models such as AlexNet, VGG16, GoogLeNet, MobileNetV3, and ResNet are used to train and test on the dataset, and two better-performing network models, AlexNet and GoogLeNet, were selected for improvement by comparison. The experimental results show that the accuracy of nvshu character recognition in the improved models reaches up to 94.3%, which obviously improves the recognition rate of nvshu character, provides new ideas for the preservation and inheritance of nvshu culture, and is important for solving the problem of nvshu character recognition in practical application scenarios." @default.
- W4386858466 created "2023-09-20" @default.
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- W4386858466 date "2023-04-21" @default.
- W4386858466 modified "2023-10-18" @default.
- W4386858466 title "Research on the nvshu character recognition algorithm based on deep learning" @default.
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- W4386858466 doi "https://doi.org/10.1109/icsp58490.2023.10248842" @default.
- W4386858466 hasPublicationYear "2023" @default.
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