Image Processing Based Traffic Sign Recognising System

Neha M. Betgeri; Ketaki K. Wagh.

Road traffic signs provide important information for guiding, warning, or regulating the behaviors of driver in order to make driving safer and easier. Automatic recognition of traffic signs is important for an automated intelligent driving vehicle or for driver assistance systems. We have designed such a robust and a fault tolerant system so that it can be a part of the so called “Driver Support Systems”. This paper presents a study to recognize traffic sign patterns using Hough transform and slope detection method. Images are pre-processed with several image processing techniques, such as, boundary trace, edge detection, erosion etc. And then using slope detection technique, which is different and new approach than color based and shape based technique, respective traffic sign is detected. Which in turns give commands to wireless robot to move according to the detected traffic sign. (Here we are specifically considering traffic sign boards of arrow).

Select Volume / Issues:

• Volume 4 Issue 6, Nov. 2013

Year:

2013

Type of Publication:

Article

Keywords:

Erosion; Haugh Transform; Region of Interest ROI; Slope Detection; Traffic Sign Recognition System TSRS

Journal:

IJECCE

Volume:

4

Number:

6

Pages:

1672-1676

Month:

November