Title :
Traffic sign classification using hough transform and SVM
Author :
Onat, Emrah ; Ozdil, Omer
Author_Institution :
SDT - Space & Defence Technol. A.S., Turkey
Abstract :
In this paper, classification of traffic signs in Turkey with the help of their some features such as color and shape is explained. In the algorithm that is generated in MATLAB, firstly trafic signs are distinguished from the other objects of the image and then filtered by their colors. After filtering, edge detection is processed and then Hough Transform and SVM are used for shape classification.
Keywords :
Hough transforms; edge detection; filtering theory; image colour analysis; shape recognition; Hough transform; MATLAB; SVM; edge detection; filtering; shape classification; traffic sign classification; traffic signs classification; Image color analysis; MATLAB; Mathematical model; Roads; Shape; Support vector machines; Transforms; Hough Transform; Support Vector Machine; Traffic Sign Classification;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7130301
