DocumentCode :
3643845
Title :
Detection and recognition of traffic signs using Gabor filters
Author :
Felix Măriuţ;Cristian Foşalău;Manuel Avila;Daniel Petrişor
Author_Institution :
Technical University of Iaş
fYear :
2011
Firstpage :
554
Lastpage :
558
Abstract :
The paper proposes a three steps algorithm that automatically detects, classifies and recognizes traffic signs from images taken from a car running along European road. Traffic signs are detected by analyzing the color information contained in the images using HSV color space. Detected signs are then classified using correlation with standard sign shapes. The recognition step uses the minimum distance classification based on calculating the Euclidean distance between two feature vectors composed using a Gabor filter with different parameters.
Keywords :
"Image color analysis","Gabor filters","Shape","Lighting","Feature extraction","Databases","Correlation"
Publisher :
ieee
Conference_Titel :
Telecommunications and Signal Processing (TSP), 2011 34th International Conference on
Print_ISBN :
978-1-4577-1410-8
Type :
conf
DOI :
10.1109/TSP.2011.6043668
Filename :
6043668
Link To Document :
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