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A Novel CNN Model for Classification of Chinese Historical Calligraphy Styles in Regular Script Font

Huang, Qing ; Li, Michael ; Agustin, Dan ; Li, Lily ; Jha, Meena

Sensors (Basel, Switzerland), 2023-12, Vol.24 (1), p.197 [同儕審閱期刊]

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題名:
A Novel CNN Model for Classification of Chinese Historical Calligraphy Styles in Regular Script Font
著者: Huang, Qing ; Li, Michael ; Agustin, Dan ; Li, Lily ; Jha, Meena
主題: Accuracy ; Aesthetics ; Analysis ; Calligraphy ; Calligraphy, Chinese ; Chinese calligraphy ; Chinese history ; Classification ; convolutional neural network (CNN) ; Cultural heritage ; Datasets ; deep learning ; Handwriting ; handwriting recognition ; Machine learning ; Neural networks ; styles classification
所屬期刊: Sensors (Basel, Switzerland), 2023-12, Vol.24 (1), p.197
描述: Chinese calligraphy, revered globally for its therapeutic and mindfulness benefits, encompasses styles such as regular (Kai Shu), running (Xing Shu), official (Li Shu), and cursive (Cao Shu) scripts. Beginners often start with the regular script, advancing to more intricate styles like cursive. Each style, marked by unique historical calligraphy contributions, requires learners to discern distinct nuances. The integration of AI in calligraphy analysis, collection, recognition, and classification is pivotal. This study introduces an innovative convolutional neural network (CNN) architecture, pioneering the application of CNN in the classification of Chinese calligraphy. Focusing on the four principal calligraphy styles from the Tang dynasty (690-907 A.D.), this research spotlights the era when the traditional regular script font (Kai Shu) was refined. A comprehensive dataset of 8282 samples from these calligraphers, representing the zenith of regular style, was compiled for CNN training and testing. The model distinguishes personal styles for classification, showing superior performance over existing networks. Achieving 89.5-96.2% accuracy in calligraphy classification, our approach underscores the significance of CNN in the categorization of both font and artistic styles. This research paves the way for advanced studies in Chinese calligraphy and its cultural implications.
出版者: Switzerland: MDPI AG
語言: 英文
識別號: ISSN: 1424-8220
EISSN: 1424-8220
DOI: 10.3390/s24010197
PMID: 38203059
資源來源: Publicly Available Content Database
DOAJ Directory of Open Access Journals

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A Novel CNN Model for Classification of Chinese Historical Calligraphy Styles in Regular Script Font

Huang, Qing ; Li, Michael ; Agustin, Dan ; Li, Lily ; Jha, Meena

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