The application discloses an English
letter recognition method and device based on
machine vision and a medium, relates to the technical field of image recognition, and comprises the following steps: collecting an original image, performing
grayscale and denoising
processing to obtain a denoised
grayscale image, correcting the denoised
grayscale image and performing binaryzation
processing, delimiting a connected domain, and obtaining a binary letter image; performing iterative
pruning on the binary letter image, setting nodes and edges, summarizing a
skeleton graph structure, calculating the
path length of the edges and the curvature and bifurcation degree of the nodes, and labeling the
skeleton graph structure to obtain a
skeleton graph structure with topological filtering labels; setting a topological complex according to the skeleton graph structure with topological filtering labels, constructing the input of a graph neural
network model, and completing the training of the graph neural
network model; and inputting a node
feature matrix into the graph neural
network model to obtain a
letter recognition result. Through the training of the graph neural network model, the recognition accuracy of complex, careless or deformed letters is improved.