A FPGA-Based Method for License Plate Localization
Authors
Y.H. Tan, Y. Xin, X.J. Zhai
Corresponding Author
Y.H. Tan
Available Online July 2015.
- DOI
- 10.2991/eame-15.2015.149How to use a DOI?
- Keywords
- license plate localization; FPGA; automatic number plate recognition
- Abstract
As a significant stage in an Automatic Number Plate recognition (ANPR) system, License plate localization (LPL) is often computationally expensive. A novel LPL algorithm using morphological operations is proposed in the paper. The algorithm has the property of low complexity and high detection rate. The algorithm has been proved to successfully implement and using the Mentor Graphics RC240 FPGA board equipped with a 4M Gates Xilinx Virtex-4 LX40 and a database of 2000 image. Results show that the proposed method achieves 98.4% detection rate within 2.7ms at the expense of only 2% of the available area in the FPGA.
- Copyright
- © 2015, 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/).
Cite this article
TY - CONF AU - Y.H. Tan AU - Y. Xin AU - X.J. Zhai PY - 2015/07 DA - 2015/07 TI - A FPGA-Based Method for License Plate Localization BT - Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering PB - Atlantis Press SP - 528 EP - 531 SN - 2352-5401 UR - https://doi.org/10.2991/eame-15.2015.149 DO - 10.2991/eame-15.2015.149 ID - Tan2015/07 ER -