Vehicle Number Plate Detection System Using Image Processing Approach

The primary method of operation for the vehicle authorization system is the reading and processing of license plates. Automatic Number Plate Recognition (ANPR) is the name given to image processing technology that uses a vehicle's license plate to identify it. In this work, we aim to develop a...

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Bibliographic Details
Main Authors: Tushar, N.I, Saikat, Abdullah, Rahat-Bin-Rafique, A.A.M, Abedin, Md. Minhajul, Tahmiduzzaman, K.B.M, Zumma, Md. Thoufiq
Format: Conference Proceeding
Language:English
Subjects:
ANPR
Authorization
Convolutional neural networks
Image processing
Knowledge engineering
Machine learning
Neural network
Neural networks
Proposals
Reliability
Security
Vehicle
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Summary:The primary method of operation for the vehicle authorization system is the reading and processing of license plates. Automatic Number Plate Recognition (ANPR) is the name given to image processing technology that uses a vehicle's license plate to identify it. In this work, we aim to develop a reliable automatic authorized vehicle identification system that makes use of the license plate. This system is intended to be used in highly restricted military areas like the Supreme Court and Parliament as well as government administration and security control systems. The number plate region in an image is found using image segmentation, which is then used to extract the vehicle's number plate from the image. The highly trained neural network serves as the foundation for the recognition system. A database used for vehicle authorization contains the specific vehicle information.
ISSN:2473-7674
DOI:10.1109/ICCCNT56998.2023.10307006