Traffic sign detection and recognition

ABSTRACT Important information can be provided to the drivers by the signs on the road like navigation, safety and warning thus computer based system for automatic recognition and detection of road sign grow popular these days. Designing a traffic sign detection and recognition use computer capabilities to aid the transportation systems can be very useful it is also possible to add robotic assistance like cameras that are equipped with an auto detection system for traffic signs on the road. This research thesis presents an overview and some technique for recognition and detection of traffic sign, in practice we have implemented Blob Analysis as our method for constructing a computerized system that can traffic signs recognize and detect in an autonomous manner from images that are fed to the system. In this paper we will explain how the implemented approach can be reliable and we will demonstrate the process and experimental results found in the process of implementation. Even if the results are not perfect for the present traffic signs, using a different set of signs with fewer similarities between could greatly improve the recognition rate. Supposing that the future transportation is done with autonomous vehicles, certainly the used signs will be made to be easily detected computationally and not specifically for the human vision. Keywords: Recognition of traffic sign, detection of traffic sign, color segmentation, HSV, blob analysis.