Publication detail

License Plate Detection Using Point of Interest Detectors and Descriptors

HORÁK, K. KLEČKA, J. NOVÁČEK, P.

Original Title

License Plate Detection Using Point of Interest Detectors and Descriptors

Type

conference paper

Language

English

Original Abstract

A license plate detection task (LPD) is an important stage in the License plate recognition (LPR) implementations for automated transport systems. This paper is focused on a theory behind various interest points (IPs) detectors and region descriptors often used in applications of image processing including the LPR apps among others. We have carried out wide analysis on behaviour of several selected detectors and descriptors listed here: Harris, Shi&Tomasi, MSER, FAST, SURF and BRISK. These algorithms have been implemented, tested and compared each other from a point of view of their stability and repeatability. Our experiments were performed on a license plate localization task and carried out over an extensive gallery of real vehicle images.

Keywords

interest points detectors; feature description; traffic systems; license plate detection

Authors

HORÁK, K.; KLEČKA, J.; NOVÁČEK, P.

Released

20. 6. 2016

Publisher

Institute of Electrical and Electronics Engineers Inc.

Location

Vienna

ISBN

978-1-5090-1288-6

Book

Proceedings of the 39th International Conference on Telecommunications and Signal Processing

Pages from

484

Pages to

488

Pages count

5

URL

http://ieeexplore.ieee.org/document/7760926

BibTex

@inproceedings{BUT128874,
  author="Karel {Horák} and Jan {Klečka} and Petr {Nováček}",
  title="License Plate Detection Using Point of Interest Detectors and Descriptors",
  booktitle="Proceedings of the 39th International Conference on Telecommunications and Signal Processing",
  year="2016",
  pages="484--488",
  publisher="Institute of Electrical and Electronics Engineers Inc.",
  address="Vienna",
  doi="10.1109/TSP.2016.7760926",
  isbn="978-1-5090-1288-6",
  url="http://ieeexplore.ieee.org/document/7760926"
}