In order to overcome the problem of low accuracy in the traditional method for style feature extraction of painting works, this paper proposes a method for style feature extraction of painting works based on convolution neural network. Firstly, the parameters in the digital image of painting works are quantised, and then the feature parameters are fused by fusion technology and used as input information. Then the wind fusion features of painting works are extracted by using the deep hash coding of triple recombination structure in convolutional...
