HIGHLIGHTS
SUMMARY
Next, the previous data are used for training with the 2DCNN calligraphy and painting identifcation model under MNF pseudocolor image mosaic as input, 2D-CNN calligraphy and painting identifcation model under multichannel MNF dimensionality reduced image directly as input, and 3D-CNN calligraphy and painting identifcation model based on multichannel MNF dimensionality reduced images, and the target outputs are the classifcation of two authors. It can be seen that the 2D-CNN calligraphy and painting identifcation model under MNF pseudocolor image mosaic as input, the 2D-CNN calligraphy and painting identifcation model under multichannel . . .
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