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Enhancing automated vehicle identification by integrating YOLO v8 and OCR techniques for high-precis...

Enhancing automated vehicle identification by integrating YOLO v8 and OCR techniques for high-precis...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_50f720b779ee4fbfbaaa4409e3a0e4f8

Enhancing automated vehicle identification by integrating YOLO v8 and OCR techniques for high-precision license plate detection and recognition

About this item

Full title

Enhancing automated vehicle identification by integrating YOLO v8 and OCR techniques for high-precision license plate detection and recognition

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-06, Vol.14 (1), p.14389-17, Article 14389

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Vehicle identification systems are vital components that enable many aspects of contemporary life, such as safety, trade, transit, and law enforcement. They improve community and individual well-being by increasing vehicle management, security, and transparency. These tasks entail locating and extracting license plates from images or video frames u...

Alternative Titles

Full title

Enhancing automated vehicle identification by integrating YOLO v8 and OCR techniques for high-precision license plate detection and recognition

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_50f720b779ee4fbfbaaa4409e3a0e4f8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_50f720b779ee4fbfbaaa4409e3a0e4f8

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-65272-1

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