Automated Access Control via License Plate Recognition using Neocognitron Neural Network

Leon Rothkrantz

doi:10.1109/InfoTech55606.2022.9897102

Automated Access Control via License Plate Recognition using Neocognitron Neural Network

Interactive Intelligence

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

In 1979 Fukushima developed a hierarchical, multilayered neural network called Neocognitron and used it for the automatic recognition of handwritten Japanese symbols. We combined the Neocognitron classifier with a special image and segment processor and applied the system in 2001 for automatic recognition of license plates in laboratory experiments. In this paper we report about a special image acquisition module and a postprocessor. We tested the system in real life conditions in an application of automated access control.

Original language	English
Title of host publication	Proceedings of the 2022 International Conference on Information Technologies (InfoTech)
Publisher	IEEE
Pages	1-8
Number of pages	8
ISBN (Electronic)	978-1-6654-6870-1
ISBN (Print)	978-1-6654-6871-8
DOIs	https://doi.org/10.1109/InfoTech55606.2022.9897102
Publication status	Published - 2022
Event	2022 International Conference on Information Technologies (InfoTech) - Varna, Bulgaria Duration: 15 Sept 2022 → 16 Sept 2022

Publication series

Name	2022 36th International Conference on Information Technologies, InfoTech 2022 - Proceedings

Conference

Conference	2022 International Conference on Information Technologies (InfoTech)
Abbreviated title	Infotech 2022
Country/Territory	Bulgaria
City	Varna
Period	15/09/22 → 16/09/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

access controls
characteristics Dutch license plates
image acquisition
license plate recognition
Neocognitron neural network

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10.1109/InfoTech55606.2022.9897102

Automated_Access_Control_via_License_Plate_Recognition_using_Neocognitron_Neural_NetworkFinal published version, 1.36 MB

Cite this

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title = "Automated Access Control via License Plate Recognition using Neocognitron Neural Network",

abstract = "In 1979 Fukushima developed a hierarchical, multilayered neural network called Neocognitron and used it for the automatic recognition of handwritten Japanese symbols. We combined the Neocognitron classifier with a special image and segment processor and applied the system in 2001 for automatic recognition of license plates in laboratory experiments. In this paper we report about a special image acquisition module and a postprocessor. We tested the system in real life conditions in an application of automated access control.",

keywords = "access controls, characteristics Dutch license plates, image acquisition, license plate recognition, Neocognitron neural network",

author = "Leon Rothkrantz",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 2022 International Conference on Information Technologies (InfoTech), Infotech 2022 ; Conference date: 15-09-2022 Through 16-09-2022",

year = "2022",

doi = "10.1109/InfoTech55606.2022.9897102",

language = "English",

isbn = "978-1-6654-6871-8",

series = "2022 36th International Conference on Information Technologies, InfoTech 2022 - Proceedings",

publisher = "IEEE",

pages = "1--8",

booktitle = "Proceedings of the 2022 International Conference on Information Technologies (InfoTech)",

address = "United States",

}

Rothkrantz, L 2022, Automated Access Control via License Plate Recognition using Neocognitron Neural Network. in Proceedings of the 2022 International Conference on Information Technologies (InfoTech). 2022 36th International Conference on Information Technologies, InfoTech 2022 - Proceedings, IEEE, pp. 1-8, 2022 International Conference on Information Technologies (InfoTech), Varna, Bulgaria, 15/09/22. https://doi.org/10.1109/InfoTech55606.2022.9897102

Automated Access Control via License Plate Recognition using Neocognitron Neural Network. / Rothkrantz, Leon.
Proceedings of the 2022 International Conference on Information Technologies (InfoTech). IEEE, 2022. p. 1-8 (2022 36th International Conference on Information Technologies, InfoTech 2022 - Proceedings).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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PY - 2022

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AB - In 1979 Fukushima developed a hierarchical, multilayered neural network called Neocognitron and used it for the automatic recognition of handwritten Japanese symbols. We combined the Neocognitron classifier with a special image and segment processor and applied the system in 2001 for automatic recognition of license plates in laboratory experiments. In this paper we report about a special image acquisition module and a postprocessor. We tested the system in real life conditions in an application of automated access control.

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Automated Access Control via License Plate Recognition using Neocognitron Neural Network

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Keywords

Access to Document

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