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AuthorAl-Zawqari A.
AuthorHommos O.
AuthorAl-Qahtani A.
AuthorFarhat A.A.H.
AuthorBensaali F.
AuthorZhai X.
AuthorAmira A.
Available date2020-04-01T06:54:47Z
Publication Date2019
Publication NameJournal of Real-Time Image Processing
ResourceScopus
ISSN18618200
URIhttp://dx.doi.org/10.1007/s11554-017-0747-7
URIhttp://hdl.handle.net/10576/13618
AbstractAutomatic number plate recognition (ANPR) systems have become widely used in safety, security, and commercial aspects. A typical ANPR system consists of three main stages: number plate localization (NPL), character segmentation (CS), and optical character recognition (OCR). In recent years, to provide a better recognition rate, high-definition (HD) cameras have started to be used. However, most known techniques for standard definition (SD) are not suitable for real-time HD image processing due to the computationally intensive cost of processing several-folds more of image pixels, particularly in the NPL stage. In this paper, algorithms suitable for hardware implementation for NPL and CS stages of an HD ANPR system are presented. Software implementation of the algorithms was carried on as a proof of concept, followed by hardware implementation on a heterogeneous system-on-chip (SoC) device that contains an ARM processor and a field-programmable gate array (FPGA). Heterogeneous implementation of these stages has shown that this HD NPL algorithm can localize a number plate in 16.17 ms, with a success rate of 98.0%. The CS algorithm can then segment the detected plate in 0.59 ms, with a success rate of 99.05%. Both stages utilize only 21% of the available on-chip configurable logic blocks.
SponsorThis publication was made possible by UREP Grant #17-138-2-037 from the Qatar National Research Fund (a member of Qatar foundation). The statements made herein are solely the responsibility of the authors. The authors would also like to thank security services at Qatar University for providing the data used in this paper.
Languageen
PublisherSpringer
SubjectAutomatic number plate recognition systems
Character segmentation
Heterogeneous SoC
High-level synthesis
Number plate localization
TitleHD number plate localization and character segmentation on the Zynq heterogeneous SoC
TypeArticle
Pagination2351-2365
Issue Number6
Volume Number16
dc.accessType Abstract Only


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