The Automatic License Plate Recognition System Based on Video Sequences Using Artificial Neural Networks

Mariola Jureczko; Filip Uherek

doi:10.1007/978-3-030-68455-6_9

The Automatic License Plate Recognition System Based on Video Sequences Using Artificial Neural Networks

Mariola Jureczko
, Filip Uherek

Department of Theoretical and Applied Mechanics (RMT/RMT3)

Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The current development of technology provides us with access to increasingly complex computers with enormous computing power. Reducing their dimensions and increasing availability on the market resulted in a reduction in their manufacturing costs. Occurred situation causes increased development of applications based on artificial intelligence methods. On the other hand, the user uses a web browser to access the computer with computing power much greater than his desktop computer. Such possibilities are offered to us by the most popular platform offering free computing power and the ability to store data which is Google Collaboratory. Greater computing power significantly speeds up the complex calculations required to train artificial neural networks, which are becoming more and more popular. The purpose of the project presented in this article was to develop an application for identifying - reading based on video sequences - car license plates. One of the machine learning methods and the deep teaching method using convolution neural networks were used to achieve the set aim.

Original language	English
Title of host publication	Modelling in Engineering 2020
Subtitle of host publication	Applied Mechanics -
Editors	Arkadiusz Mężyk, Sławomir Kciuk, Roman Szewczyk, Sławomir Duda
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	95-106
Number of pages	12
ISBN (Print)	9783030684549
DOIs	https://doi.org/10.1007/978-3-030-68455-6_9
Publication status	Published - 2021
Event	59th Symposium on Engineering Modelling in Mechanics, 2020 - Gliwice, Poland Duration: 22 Feb 2020 → 26 Feb 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1336
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	59th Symposium on Engineering Modelling in Mechanics, 2020
Country/Territory	Poland
City	Gliwice
Period	22/02/20 → 26/02/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Artificial neural networks
Automatic license plate recognition
Automatic number – plate recognition
Convolutional Neural Networks

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-030-68455-6_9

Cite this

Jureczko, M., & Uherek, F. (2021). The Automatic License Plate Recognition System Based on Video Sequences Using Artificial Neural Networks. In A. Mężyk, S. Kciuk, R. Szewczyk, & S. Duda (Eds.), Modelling in Engineering 2020: Applied Mechanics - (pp. 95-106). (Advances in Intelligent Systems and Computing; Vol. 1336). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-68455-6_9

Jureczko, Mariola ; Uherek, Filip. / The Automatic License Plate Recognition System Based on Video Sequences Using Artificial Neural Networks. Modelling in Engineering 2020: Applied Mechanics -. editor / Arkadiusz Mężyk ; Sławomir Kciuk ; Roman Szewczyk ; Sławomir Duda. Springer Science and Business Media Deutschland GmbH, 2021. pp. 95-106 (Advances in Intelligent Systems and Computing).

@inproceedings{1a44ad8c3f2d4801b06faa4ecad223c3,

title = "The Automatic License Plate Recognition System Based on Video Sequences Using Artificial Neural Networks",

abstract = "The current development of technology provides us with access to increasingly complex computers with enormous computing power. Reducing their dimensions and increasing availability on the market resulted in a reduction in their manufacturing costs. Occurred situation causes increased development of applications based on artificial intelligence methods. On the other hand, the user uses a web browser to access the computer with computing power much greater than his desktop computer. Such possibilities are offered to us by the most popular platform offering free computing power and the ability to store data which is Google Collaboratory. Greater computing power significantly speeds up the complex calculations required to train artificial neural networks, which are becoming more and more popular. The purpose of the project presented in this article was to develop an application for identifying - reading based on video sequences - car license plates. One of the machine learning methods and the deep teaching method using convolution neural networks were used to achieve the set aim.",

keywords = "Artificial neural networks, Automatic license plate recognition, Automatic number – plate recognition, Convolutional Neural Networks",

author = "Mariola Jureczko and Filip Uherek",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 59th Symposium on Engineering Modelling in Mechanics, 2020 ; Conference date: 22-02-2020 Through 26-02-2020",

year = "2021",

doi = "10.1007/978-3-030-68455-6\_9",

language = "English",

isbn = "9783030684549",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "95--106",

editor = "Arkadiusz M{\c e}{\.z}yk and S{\l}awomir Kciuk and Roman Szewczyk and S{\l}awomir Duda",

booktitle = "Modelling in Engineering 2020",

address = "Germany",

}

Jureczko, M & Uherek, F 2021, The Automatic License Plate Recognition System Based on Video Sequences Using Artificial Neural Networks. in A Mężyk, S Kciuk, R Szewczyk & S Duda (eds), Modelling in Engineering 2020: Applied Mechanics -. Advances in Intelligent Systems and Computing, vol. 1336, Springer Science and Business Media Deutschland GmbH, pp. 95-106, 59th Symposium on Engineering Modelling in Mechanics, 2020, Gliwice, Poland, 22/02/20. https://doi.org/10.1007/978-3-030-68455-6_9

The Automatic License Plate Recognition System Based on Video Sequences Using Artificial Neural Networks. / Jureczko, Mariola; Uherek, Filip.
Modelling in Engineering 2020: Applied Mechanics -. ed. / Arkadiusz Mężyk; Sławomir Kciuk; Roman Szewczyk; Sławomir Duda. Springer Science and Business Media Deutschland GmbH, 2021. p. 95-106 (Advances in Intelligent Systems and Computing; Vol. 1336).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The Automatic License Plate Recognition System Based on Video Sequences Using Artificial Neural Networks

AU - Jureczko, Mariola

AU - Uherek, Filip

PY - 2021

Y1 - 2021

N2 - The current development of technology provides us with access to increasingly complex computers with enormous computing power. Reducing their dimensions and increasing availability on the market resulted in a reduction in their manufacturing costs. Occurred situation causes increased development of applications based on artificial intelligence methods. On the other hand, the user uses a web browser to access the computer with computing power much greater than his desktop computer. Such possibilities are offered to us by the most popular platform offering free computing power and the ability to store data which is Google Collaboratory. Greater computing power significantly speeds up the complex calculations required to train artificial neural networks, which are becoming more and more popular. The purpose of the project presented in this article was to develop an application for identifying - reading based on video sequences - car license plates. One of the machine learning methods and the deep teaching method using convolution neural networks were used to achieve the set aim.

AB - The current development of technology provides us with access to increasingly complex computers with enormous computing power. Reducing their dimensions and increasing availability on the market resulted in a reduction in their manufacturing costs. Occurred situation causes increased development of applications based on artificial intelligence methods. On the other hand, the user uses a web browser to access the computer with computing power much greater than his desktop computer. Such possibilities are offered to us by the most popular platform offering free computing power and the ability to store data which is Google Collaboratory. Greater computing power significantly speeds up the complex calculations required to train artificial neural networks, which are becoming more and more popular. The purpose of the project presented in this article was to develop an application for identifying - reading based on video sequences - car license plates. One of the machine learning methods and the deep teaching method using convolution neural networks were used to achieve the set aim.

KW - Artificial neural networks

KW - Automatic license plate recognition

KW - Automatic number – plate recognition

KW - Convolutional Neural Networks

UR - https://www.scopus.com/pages/publications/85129365192

U2 - 10.1007/978-3-030-68455-6_9

DO - 10.1007/978-3-030-68455-6_9

M3 - Conference contribution

AN - SCOPUS:85129365192

SN - 9783030684549

T3 - Advances in Intelligent Systems and Computing

SP - 95

EP - 106

BT - Modelling in Engineering 2020

A2 - Mężyk, Arkadiusz

A2 - Kciuk, Sławomir

A2 - Szewczyk, Roman

A2 - Duda, Sławomir

PB - Springer Science and Business Media Deutschland GmbH

T2 - 59th Symposium on Engineering Modelling in Mechanics, 2020

Y2 - 22 February 2020 through 26 February 2020

ER -

Jureczko M, Uherek F. The Automatic License Plate Recognition System Based on Video Sequences Using Artificial Neural Networks. In Mężyk A, Kciuk S, Szewczyk R, Duda S, editors, Modelling in Engineering 2020: Applied Mechanics -. Springer Science and Business Media Deutschland GmbH. 2021. p. 95-106. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-68455-6_9

The Automatic License Plate Recognition System Based on Video Sequences Using Artificial Neural Networks

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this