research-article

A custom processor for an FPGA-based platform for automatic license plate recognition

Authors:

Guilherme A. M. Sborz,

Guilherme A. Pohl,

Felipe Viel,

Cesar A. ZeferinoAuthors Info & Claims

SBCCI '19: Proceedings of the 32nd Symposium on Integrated Circuits and Systems Design

Article No.: 15, Pages 1 - 6

https://doi.org/10.1145/3338852.3339867

Published: 26 August 2019 Publication History

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Abstract

Automatic License Plate Recognition (ALPR) systems are used to identify a vehicle from an image that contains its plate. These systems have applications in a wide range of areas, such as toll payment, border control, and traffic surveillance. ALPR systems demand high computational power, especially for real-time applications. In this context, this paper describes the development of a custom processor designed to accelerate part of the processing of an FPGA-based ALPR system. This processor reduces the latency for computing the most expensive function of the ALPR system in almost 23 times, thus reducing the time necessary for detection of a vehicle plate.

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Cited By

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Yu KKim MChoi J(2023)Memory-Tree Based Design of Optical Character Recognition in FPGAElectronics10.3390/electronics1203075412:3(754)Online publication date: 2-Feb-2023
https://doi.org/10.3390/electronics12030754
Musil PMusil MNosko SJuránek RZemčík P(2023)Smart Camera for Traffic ApplicationsJournal of Signal Processing Systems10.1007/s11265-023-01843-195:9(1067-1077)Online publication date: 18-Jul-2023
https://doi.org/10.1007/s11265-023-01843-1
Akpojotor PAdetunmbi AAlese BOluwatope A(2021)Automatic license plate recognition on microprocessors and custom computing platforms: A reviewIET Image Processing10.1049/ipr2.1226215:12(2717-2735)Online publication date: 17-May-2021
https://doi.org/10.1049/ipr2.12262

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A custom processor for an FPGA-based platform for automatic license plate recognition

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Published In

SBCCI '19: Proceedings of the 32nd Symposium on Integrated Circuits and Systems Design

August 2019

204 pages

ISBN:9781450368445

DOI:10.1145/3338852

General Chair:
João Martino
USP, Brazil
,
Program Chairs:
Marcelo Lubaszewski
UFRGS, Brazil
,
Matteo Reorda
Politec. di Torino, Italy

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 August 2019

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Conselho Nacional de Desenvolvimento Científico e Tecnológico
Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina

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SBCCI '19

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SIGDA

SBCCI '19: 32nd Symposium on Integrated Circuits and Systems Design

August 26 - 30, 2019

São Paulo, Brazil

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Yu KKim MChoi J(2023)Memory-Tree Based Design of Optical Character Recognition in FPGAElectronics10.3390/electronics1203075412:3(754)Online publication date: 2-Feb-2023
https://doi.org/10.3390/electronics12030754
Musil PMusil MNosko SJuránek RZemčík P(2023)Smart Camera for Traffic ApplicationsJournal of Signal Processing Systems10.1007/s11265-023-01843-195:9(1067-1077)Online publication date: 18-Jul-2023
https://doi.org/10.1007/s11265-023-01843-1
Akpojotor PAdetunmbi AAlese BOluwatope A(2021)Automatic license plate recognition on microprocessors and custom computing platforms: A reviewIET Image Processing10.1049/ipr2.1226215:12(2717-2735)Online publication date: 17-May-2021
https://doi.org/10.1049/ipr2.12262

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Deep automatic license plate recognition system

Automatic License Plate Recognition via sliding-window darknet-YOLO deep learning

Automatic license plate recognition

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