A Method of Recognition for Fake Plate Vehicles

DOI

10.2991/ncce-18.2018.114How to use a DOI?

Keywords

vehicle recognition; vehicle retrieval; saliency areas; SVM; ACS; smart phone.

Abstract

The investigation of fake plate vehicles mainly relies on the traffic police verifications and public tip-offs. It is inefficient and produces very little effect. Based on above analysis, a method of recognition for fake plate vehicles is proposed which to investigate the fake plate vehicles effectively, Increase the intensity of the fight against crime. In this paper, the saliency areas of training set are detected to remove the partial background of vehicle image. SIFT descriptors are translated as "visual word" and the inputs of SVM methods for training and recognizing vehicles. The experiments show that methods in this paper can detect fake plate vehicles efficiently, and the detection precision is 84%.

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/).

Download article (PDF)

TY  - CONF
AU  - Dongyu Guo
PY  - 2018/05
DA  - 2018/05
TI  - A Method of Recognition for Fake Plate Vehicles
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 692
EP  - 699
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.114
DO  - 10.2991/ncce-18.2018.114
ID  - Guo2018/05
ER  -