Comparison of two methods of pattern recognition of geometric shapes

The paper presents methods for highlighting the contours of objects on the image, two methods of recognizing the images of geometric shapes are selected for a detailed study. The first method is based on the selection of the contour and counting the number of vertices. The second method uses a modern approach using artificial neural networks. The results of comparing the recognition accuracy of these methods on the same test samples are presented; the accuracy metric is chosen as the quality criterion for the developed model. This metric is an indicator that describes the overall accuracy of the model for all classes.