Abstract
Traffic Sign Detection and Recognition (TSDR) has many features help the driver in improving the safety and comfort, today it is widely used in the automotive manufacturing sector, a robust detection and recognition system a good solution for driver assistance systems, it can warn the driver and control or prohibit certain actions which significantly increase driving safety and comfort. This paper presents a study to design, implement and test a method of detection and recognition of road signs based on computer vision. The approach adopted in this work consists of two main modules: a detection module which is based on color segmentation and edge detection to identify areas of the scene may contain road signs and a recognition module based on the multilayer perceptrons whose role is to match the patterns detected with road signs corresponding visual information. The development of these two modules is performed using the C/C++ language and the OpenCV library. The tests are performed on a set of real images of traffic to show the performance of the system being developed.
Highlights
A driver assistance system is designed to help the driver to better control the vehicle in difficult circumstances to help increase safety and the safety of other drivers, pedestrians etc. involved in the traffic on the roads
Traffic signs Recognition system developed in this work like [1,2,3] composed of two main Modules
The system was ended with a Traffic Sign Recognition
Summary
Involved in the traffic on the roads. Computer vision is a promising approach for addressing this problem. Automatic control of the braking system, automatic speed control, generation of alerts and notifications, corresponding to the various events encountered on the road etc., are some examples among many installations of driver assistance that could be developed, based on this approach. The aim of this work is to design, implement and test a system of Traffic signs Recognition. Traffic signs Recognition system developed in this work like [1,2,3] composed of two main Modules. The first Module is the detection Module which is designed to detect and extract zones may contain traffic signs in the image, based on the
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