Automatic detection and recognition of road sign for driver assistance system

Automatic road-signs recognition is becoming a part of Driver Assisting Systems which role is to increase safety and driving comfort. This paper presents an efficient approach for detecting and recognizing road sign in traffic scene images acquired from a moving vehicle. The developed road sign reco...

Full description

Saved in:
Bibliographic Details
Published in2012 16th IEEE Mediterranean Electrotechnical Conference pp. 888 - 891
Main Authors Hechri, A., Mtibaa, A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2012
Subjects
Image color analysis
Image segmentation
Lighting
Neural networks
recognition
Road sign
Roads
segmentation
Shape
vehicle
Vehicles
Online AccessGet full text
ISBN9781467307826
1467307823
ISSN2158-8473
DOI10.1109/MELCON.2012.6196571

Cover

More Information
Summary:Automatic road-signs recognition is becoming a part of Driver Assisting Systems which role is to increase safety and driving comfort. This paper presents an efficient approach for detecting and recognizing road sign in traffic scene images acquired from a moving vehicle. The developed road sign recognition system is divided into two stages: detection stage to localize signs from a whole image, and classification stage that classifies the detected sign into one of the reference signs. The detection module segments the input image in the YCBCR colour space, and then detects road signs using a shape filtering method. The classification module determines the type of detected road signs using a Multi-layer Perceptron neural networks. An extensive experimentation has shown that the proposed approach is robust enough to detect and recognize road signs under varying translation, rotation and lighting conditions.
ISBN:9781467307826
1467307823
ISSN:2158-8473
DOI:10.1109/MELCON.2012.6196571