Application of deep learning algorithm in color matching automation of packaging design

Color has a strong psychological implication. In today’s society, ordinary consumers not only require products to have corresponding functional uses but also seek their spiritual functions to ensure emotional communication between the product and the user. Therefore, the product color with emotional experience has become the goal pursued by enterprises, the spiritual connotation of color has also become the consumer’s consumption requirements, and the perceptual image of the product determines whether consumers have a demand for the corresponding product. Based on this, this paper takes household electrical soybean milk machine as an example, using multi-scale analysis and cluster analysis methods to get the perceptual image vocabulary that can represent the color of product packaging. On this basis, BP neural network is used to establish the perceptual image vocabulary and product packaging color matching model. The simulation results show that it is feasible to establish the association model between perceptual image and color matching by BP (back propagation) neural network.