Evaluation and analysis of the beauty of fine art paintings based on image feature recognition

Evaluation and analysis of the beauty of fine art paintings based on image feature recognition is studied in this paper. In the image retrieval, the traditional Euclidean distance measure is used to initially detect the query image set that meets the image retrieval conditions. The traditional clustering method of categorizing pixels only uses the gray information of the pixels, while ignoring the spatial location information, hence feature recognition is combined to enhance the model. The image estimation model is integrated to validate the robustness. In the experiment section, the ideas are validated through the analysis. Compared with the latest models, the proposed algorithm has the better performance.