DSpace Repository

Vehicle Number Plate Detection System Using Image Processing Approach

Show simple item record

dc.contributor.author Tushar, N.I
dc.contributor.author Saikat, Abdullah
dc.contributor.author Rafique, A.A.M Rahat-Bin-
dc.contributor.author Minhajul Abedin, Md.
dc.contributor.author Tahmiduzzaman, K.B.M
dc.date.accessioned 2024-05-25T10:15:46Z
dc.date.available 2024-05-25T10:15:46Z
dc.date.issued 2023-07-08
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/12466
dc.description.abstract 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. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Vehicle en_US
dc.subject ANPR en_US
dc.subject Machine learning en_US
dc.subject Image processing en_US
dc.subject Neural network en_US
dc.title Vehicle Number Plate Detection System Using Image Processing Approach en_US
dc.type Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Browse

My Account

Statistics