Real-time license plate localisation in FPGA.

X. Zhai, Faycal Bensaali, Soodamani Ramalingam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)


Automatic Number Plate Recognition (ANPR) systems have become an important tool to track stolen car, access control and monitor the traffic. The fundamental requirements of an ANPR system are image capture using an ANPR camera, and processing of the captured image. The image processing part, which is a computationally intensive task, includes two stages i.e. plate localisation and character recognition. This paper presents an improved license plate localisation (LPL) algorithm based on modified Sobel vertical edge detection operator and two morphological operations suitable for FPGA implementation. The algorithm has been successfully implemented on a Xilinx Virtex-4 FPGA and tested using a database of 1000 images that contains UK number plates. It consumes 28% of the available on-chip resources, runs with a maximum frequency of 114.20 MHz, has a detection rate of 99.1% and capable of processing one image (640×480) in 3.8ms.
Original languageEnglish
Title of host publicationProcs 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Subtitle of host publication(CVPRW)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages14 - 19
ISBN (Print)978-1-4577-0529-8
Publication statusPublished - 2011


Dive into the research topics of 'Real-time license plate localisation in FPGA.'. Together they form a unique fingerprint.

Cite this