The application discloses a point-based shape contour recognition method, which comprises the following steps: constructing a standard pattern
library, wherein the standard pattern
library comprises regular patterns or custom patterns, and the picture size in the standard pattern
library is recorded as m*n; obtaining
point data of each shape in a to-be-recognized drawing; adopting a clustering
algorithm to divide a group of points into different clusters in space, applying a convex
hull algorithm to each cluster to obtain a
convex polygon wrapping all points in the cluster; compressing the
convex polygon to the size of m*n to form a standard
convex polygon, and recording a compression rate; comparing the standard convex polygon with each pattern in the standard pattern library by IoU to obtain a pattern in the standard pattern library with the highest
score as a predicted contour of the convex polygon; and then reflecting the original size according to the compression rate based on the predicted shape to obtain a result, so that the shape contour recognition in the drawing is realized. The method can be applied to recognition and analysis of various shapes, and has the characteristics of high efficiency, stability and wide applicability.