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. 2022 Aug 30:2022:4520913.
doi: 10.1155/2022/4520913. eCollection 2022.

Classification of Artistic Styles of Chinese Art Paintings Based on the CNN Model

Bingquan Chen  1
Affiliations

Classification of Artistic Styles of Chinese Art Paintings Based on the CNN Model

Bingquan Chen. Comput Intell Neurosci. .

Abstract

People's appreciation needs of Chinese paintings have gradually increased. The research on automatic classification and recognition of Chinese painting artistic style and its authors have great practical value. This study presents a Chinese painting classification algorithm with higher classification accuracy and better robustness. Using a convolutional neural network (CNN) to extract the features of Chinese painting, the image features of Chinese painting are extracted by fine-tuning the pretrained VGG-F model. The mutual information theory is introduced into embedded machine learning, so that the embedded principle is affected by feature selection and feature importance. An embedded classification algorithm based on mutual information is proposed, and Chinese painting is classified.

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Conflict of interest statement

The authors declare that they have no conflicts of interest.

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