Patent ID: 11875576
Assignee: QUANZHOU EQUIPMENT MANUFACTURING RESEARCH INSTITUTE
Field: Computer technology (Electrical engineering)
Classification: CPC G  Y | IPC G

Claim 5:
6. The traffic sign recognition method based on a lightweight neural network according to claim 1, wherein the data preprocessing comprises determining a size of traffic sign image data, selecting appropriate candidate frames, completing a clipping of the initial traffic sign image data, uniformly setting clipped color images with a resolution of 64×64, classifying clipped data, and expanding each category data by using a data enhancement method; the data enhancement method specifically comprises a slight horizontal or vertical translation of images, an adjustment of image saturation and a whitening treatment to make a number of traffic sign categories consistent, then marking the traffic sign image data, and then dividing the training set and the test set according to a ratio of 8:2 to construct the traffic sign data set.