DocumentCode
1613164
Title
Hardware centric automatic recognition of road signs
Author
Hashemi, Ashkan ; Thornberg, Benny
Author_Institution
Dept. of Inf. Technol. & Media, Mid Sweden Univ., Sundsvall, Sweden
fYear
2012
Firstpage
157
Lastpage
162
Abstract
In this paper we present a novel and robust algorithm for automatic recognition of road signs by using histogram of oriented gradient (HOG) as the main feature and minimum distance classifier (MDC) to classify numbers written on speed limit road signs. It also describes how other geometrical properties can be added to feature vector in order to increase the robustness of proposed algorithm.
Keywords
geometry; image classification; object recognition; traffic engineering computing; HOG; MDC; feature vector; geometrical properties; hardware centric automatic recognition; histogram of oriented gradient; minimum distance classifier; number classification; speed limit road signs; Hardware; Image color analysis; Image recognition; Image segmentation; Roads; Support vector machine classification; Training; Image processing; color space; histogram of oriented gradients; minimum distance classifier;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Applications and Industrial Electronics (ISCAIE), 2012 IEEE Symposium on
Conference_Location
Kota Kinabalu
Print_ISBN
978-1-4673-3032-9
Type
conf
DOI
10.1109/ISCAIE.2012.6482088
Filename
6482088
Link To Document