System analysis of the problem of establishing the authenticity and authority of painting works

Cultural values have long been the objects of crimes, among which the export from the state stands out. Falsification hides artworks from customs control and its detection requires a long examination using a variety of methods of analysis. This article discusses the task of verifying painting’s authenticity during customs inspection. A two-stage procedure is proposed, which includes a quick check based on the analysis of painting’s images and a longer museum expertize. To implement the image analysis, it is proposed to use an intelligent decision-making system, which is based on a classifier that implements the k-nearest neighbors algorithm. A set of features to describe painting’s properties is formed, metrics for calculating the similarity measure on objects in the course of classification is proposed. To train an algorithm, a dataset is proposed, which includes paintings by world and European artists, as well as Ukrainian painters from different centuries.