Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

Research on Traffic Sign Recognition Algorithm based on SVM of LBP

Authors
Ziyi Zhou
Corresponding Author
Ziyi Zhou
Available Online December 2018.
DOI
https://doi.org/10.2991/tlicsc-18.2018.3How to use a DOI?
Keywords
Texture feature; SVM; LBP; Traffic sign recognition.
Abstract
For the problem of road traffic sign, this paper proposed the traffic sign recognition algorithm based on SVM of LBP. Firstly, colour space conversion, binarization processing, expansion, demonizing and filling are carried out for the collected signs to obtain the target area in the image. Then, LBP operator is used to obtain the texture features of the target area, and then the features are input into SVM for training. Finally, the traffic signs are identified with the SVM after training, and compared with the traffic recognition database.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Cite this article

TY  - CONF
AU  - Ziyi Zhou
PY  - 2018/12
DA  - 2018/12
TI  - Research on Traffic Sign Recognition Algorithm based on SVM of LBP
BT  - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SP  - 10
EP  - 16
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.3
DO  - https://doi.org/10.2991/tlicsc-18.2018.3
ID  - Zhou2018/12
ER  -