Improved number plate localisation algorithm and its efficient field programmable gate arrays implementation
Journal article
| Authors | Zhai, Xiaojun, Ramalingam, Soodamani and Bensaali, Faycal |
|---|---|
| Abstract | Number plate localisation is a very important stage in an automatic number plate recognition (ANPR) system and is computationally intensive. This study presents a low complexity with high-detection rate number plate localisation algorithm based on morphological operations together with an efficient multiplier-less architecture based on that algorithm. The proposed architecture has been successfully implemented and tested using a Mentor Graphics RC240 FPGA (field programmable gate arrays) development board equipped with a 4M-gate Xilinx Virtex-4 LX40. Two database sets sourced from the UK and Greece and including 1000 and 307 images, respectively, both with a resolution of 640 x 480, have been used for testing. Results achieved have shown that the proposed system can process an image in 4.7 ms, while achieving a 97.8% detection rate and consuming only 33% of the available area of the FPGA. |
| Keywords | Image processing; FPGA; Recognition |
| Year | 2013 |
| Journal | IET Circuits, Devices & Systems |
| Publisher | The Institution of Engineering and Technology |
| ISSN | 1751-858X |
| 1751-8598 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1049/iet-cds.2012.0064 |
| Web address (URL) | http://hdl.handle.net/10545/583879 |
| hdl:10545/583879 | |
| Publication dates | 01 Mar 2013 |
| Publication process dates | |
| Deposited | 14 Dec 2015, 10:53 |
| Series | Vol. 7 |
| Issue 2 | |
| Rights | Archived with thanks to IET Circuits, Devices & Systems |
| Contributors | University of Hertfordshire |
| File | File Access Level Open |
https://repository.derby.ac.uk/item/946z9/improved-number-plate-localisation-algorithm-and-its-efficient-field-programmable-gate-arrays-implementation
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