Traffic sign detection and recognition

Abstract EN

Through dealing with technologies and technology, in field use image processing in the systems of electronic Including smart driving systems for cars.

In order to facilitate and improve the performance of electronic systems.

Some mathematical concepts and algorithms are employed for this purpose.

Where traffic Sign Detection and Recognition (TSDR) systems provide an additional level to driver assistance, leading to improve safety for passengers, road users and vehicles.

As part of Advanced Driving Assistance Systems (ADAS), ADAS helps the driver to drive the car and leads to a better awareness on the road.

proposed system for the detection of traffic signs, classification into danger, information, obligation and prohibition classes.

Through this research we aim to provide a system capable of taking images of traffic signals on both sides of the road, Analyze and recognition its and alert the driver to what the sign image mean.

The driver will be able to act on the instructions in the traffic sign.

The traffic system helps drivers recognize signs they did not recognize before.

The operation is performed using a Similarity metrics were using correlation for Complete the matching process between the resulting image and the stored image in the database