Contour shape recognition method

A contour shape recognition method, comprising the following steps:

• step 1, sampling and extracting salient feature points of a contour of a shape sample;
• step 2, calculating a shape feature function of the shape sample at a semi-global scale by using three types of shape descriptors;
• step 3, dividing the scale with a single pixel as a spacing to acquire a shape feature function in a full-scale space;
• step 4, storing shape feature function values at various scales into a matrix to acquire three types of shape feature grayscale map representations of the shape sample in the full-scale space;
• step 5, synthesizing the three types of shape feature grayscale map representations of the shape sample, as three channels of RGB, into a color feature representation image;
• step 6, constructing a two-stream convolutional neural network by taking the shape sample and the color feature representation image as inputs at the same time;
• and
• step 7, training the two-stream convolutional neural network, and inputting a test sample into a trained network model to achieve classified recognition of the contour shape.