Method and system for identifying traffic signs in street image

Abstract

The invention provides a method and a system for identifying traffic signs in a street scene image. The method includes the following steps: receiving a street scene image, preprocessing the street scene image, and enhancing the traffic sign features of interest in the street scene image; extracting the traffic sign features of interest in the street scene image by combining a HIS color space threshold and a non-color region threshold; using shape features to optimize and screen the traffic sign features of interest extracted based on color features, and removing false regions in the street scene image; and sending the traffic sign features of interest to a multilayer neural network, identifying the features of interest, and outputting an identification result. According to the invention, the street scene image is processed, the traffic sign features of interest are extracted, and traffic signs are identified using a trained multilayer convolutional neural network. The identification rate is improved, and the influence of the factors of the street scene image on identification is reduced.

Description

technical field [0001] The present invention relates to the field of information processing, and more particularly, to a traffic sign recognition method and system in street view images. Background technique [0002] With the progress of society and the development of economy, my country's highway transportation industry has developed rapidly, and the circulation of automobiles has gradually increased. At the same time, there are many types of traffic signs and their distribution is wide. The information collection of traffic signs The work provides key information for unmanned driving and intelligent navigation technology, and enables vehicles or assisted drivers to make decisions by intelligently identifying road conditions, speed limits, driving behaviors and other information indicated by these signs. Manually extracting and updating traffic sign information consumes a lot of time and human resources. [0003] Traffic sign recognition technology is a branch of target rec...

AI Technical Summary

Problems solved by technology

[0005] In view of the existing technology, the recognition rate of traffic sign recognition is not high, and it cannot adapt to the background of environmental influences such as complex and diverse forms of traffic signs and angles of light. At the same time, traffic sign recognition in street view images is affected by the collection environment of street view images. , light intensity, complex content and other objective factors, providing a traffic sign recognition method and system in street view images

Images