- Title
- Enabling Vehicle Search Through Robust Licence Plate Detection
- Creator
- Boby, Alden
- Creator
- Brown, Dane L
- Creator
- Connan, James
- Creator
- Marais, Marc
- Creator
- Kuhlane, Luxolo L
- Subject
- To be catalogued
- Date Issued
- 2023
- Date
- 2023
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/463372
- Identifier
- vital:76403
- Identifier
- xlink:href="https://ieeexplore.ieee.org/abstract/document/10220508"
- Description
- Licence plate recognition has many practical applications for security and surveillance. This paper presents a robust licence plate detection system that uses string-matching algorithms to identify a vehicle in data. Object detection models have had limited application in the character recognition domain. The system utilises the YOLO object detection model to perform character recognition to ensure more accurate character predictions. The model incorporates super-resolution techniques to enhance the quality of licence plate images to increase character recognition accuracy. The proposed system can accurately detect license plates in diverse conditions and can handle license plates with varying fonts and backgrounds. The system's effectiveness is demonstrated through experimentation on components of the system, showing promising license plate detection and character recognition accuracy. The overall system works with all the components to track vehicles by matching a target string with detected licence plates in a scene. The system has potential applications in law enforcement, traffic management, and parking systems and can significantly advance surveillance and security through automation.
- Format
- computer
- Format
- online resource
- Format
- application/pdf
- Format
- 1 online resource (6 pages)
- Format
- Publisher
- IEEE Xplore
- Language
- English
- Relation
- International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD)
- Relation
- Boby, A., Brown, D., Connan, J., Marais, M. and Kuhlane, L.L., 2023, August. Enabling Vehicle Search Through Robust Licence Plate Detection. In 2023 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD) (pp. 1-7). IEEE
- Relation
- International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD) p. 1 2023
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the IEEE Xplore Terms of Use Statement (https://ieeexplore.ieee.org/Xplorehelp/overview-of-ieee-xplore/terms-of-use)
- Rights
- Closed Access
- Hits: 65
- Visitors: 65
- Downloads: 1
Collections
Connan, James (Mr)
Brown, Dane A (Associate Prof)
RU Department of Computer Science
SDG 09. Industry, Innovation and Infrastructure
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Enabling Vehicle Search Through Robust Licence Plate Detection.pdf | 638 KB | Adobe Acrobat PDF | View Details Download |