Proceedings of the 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)

Dynamic License Plate Recognition System Based on Virtual Instrument

Authors
Yang Xu, Zhen Wang
Corresponding Author
Yang Xu
Available Online September 2016.
DOI
https://doi.org/10.2991/amitp-16.2016.60How to use a DOI?
Keywords
LabVIEW, Smart Ball, License Plate Location, License Plate Correction
Abstract
This paper describes a dynamic license plate recognition system based on virtual instrument. In the process of stopping the vehicle, triggering a geomagnetic sensor, The host computer (PC) receive signal to control the intelligent ball machine acquisition vehicle image. Then the license plate is located by the method of combining color feature and edge feature. Secondly, Radon transform correction, character segmentation by vertical projection method. Finally, we propose a character recognition method based on vector machines. This system is simple, the algorithm is simple, a good user interface, and so on. The results showed that when the vehicle image capture, Radon transform better correction. During character recognition, select the appropriate penalty factor and gamma values, the recognition rate of over 90%.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)
Part of series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-245-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/amitp-16.2016.60How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yang Xu
AU  - Zhen Wang
PY  - 2016/09
DA  - 2016/09
TI  - Dynamic License Plate Recognition System Based on Virtual Instrument
BT  - 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)
PB  - Atlantis Press
SP  - 304
EP  - 308
SN  - 2352-538X
UR  - https://doi.org/10.2991/amitp-16.2016.60
DO  - https://doi.org/10.2991/amitp-16.2016.60
ID  - Xu2016/09
ER  -