DocumentCode
714673
Title
Traffic sign classification using hough transform and SVM
Author
Onat, Emrah ; Ozdil, Omer
Author_Institution
SDT - Space & Defence Technol. A.S., Turkey
fYear
2015
fDate
16-19 May 2015
Firstpage
2161
Lastpage
2165
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location
Malatya
Type
conf
DOI
10.1109/SIU.2015.7130301
Filename
7130301
Link To Document