Research on Traffic Sign Recognition Algorithm based on SVM of LBP

DOI

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.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/tlicsc-18.2018.3
ID  - Zhou2018/12
ER  -