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Automatic Toll Collection System Based on Image Processing

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dc.contributor.author Sany, Khaled Akram
dc.contributor.author Rahad, Shami Al
dc.contributor.author Eti, Faria Akter
dc.date.accessioned 2020-11-29T04:35:10Z
dc.date.available 2020-11-29T04:35:10Z
dc.date.issued 2019-12-05
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5219
dc.description.abstract The ANPR (Automatic Number Plate Recognition) has a various use in many ways. The ANPR or automatic number plate recognition is a technology that captures the images of vehicles and perceives the number plates. It is a reconnaissance system to detect the vehicle license number. After tag discovery, it sends an action SMS to the proprietor of the vehicle immediately. We utilize three phases of ordinary Number Plate recognition system. Our propose system capture the vehicle image. Then the image segmentation Methods are used to excerpt the number plate region. Correlation method is utilized for contrasting the segmented image with the template images. Output Result will discover the Number Plate number. The resulting data is then used to compare with the records in the database. MATLAB software is used to extract the vehicle number plate from the digital image. In this case the vehicle does not need to pay the toll cost by cash. The system prepares a bill paper and sent it to vehicle owner through online. Then our server will send a text message to owner’s contact number. So that, owner can get the actual location of his vehicle. So, there will be no hazard to lost/stole his vehicle. Close to this, the traffic will be also reducing near the toll plaza. This system also works as a tracking system. en_US
dc.language.iso en en_US
dc.publisher Daffodil International University en_US
dc.subject Information Technology en_US
dc.subject Web Technology en_US
dc.title Automatic Toll Collection System Based on Image Processing en_US
dc.type Other en_US


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