Chinese Painting Classification Method Based on PCA

Meng-yu WANG

Abstract


In this paper, a kind of Chinese painting classification method based on PCA is proposed. The image was pretreated using this method, then reduced by Gabor transform and classified based of PCA. Experiments in the self-built image library show that this method has high classification accuracy.

Keywords


Chinese painting, PCA, Gabor transform


DOI
10.12783/dtcse/cnai2018/24198

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