Techniques used in Automatic Number Plate Recognition

2023 4th International Conference for Emerging Technology (INCET)(2023)

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摘要
The Automatic Number Plate Recognition (ANPR) systems typically consist of a camera, image processing software, and a database system. When a car passes by, the camera snaps a picture of its license plate. The image processing software then uses OCR technology to retrieve the license plate number from the picture. The extracted plate number is then compared against a database of registered vehicles, and any relevant information associated with the plate number is retrieved. This information can include the vehicle’s make and model, owner information, and any applicable fines or penalties. By automatically capturing license plate numbers, ANPR can help identify stolen vehicles, track the movements of known criminals, and enforce traffic violations such as speeding and running red lights. In addition, ANPR can also be used for parking enforcement, enabling authorities to enforce regulations. ANPR is also widely used in the toll collection industry, where drivers can be automatically charged for using toll roads without the need for physical barriers or manual inspection of license plates. Overall, ANPR technology is a valuable tool for improving road safety, reducing crime, and increasing efficiency in a variety of applications. However, like all technologies, ANPR has the potential to be misused, and its use must be balanced against privacy concerns and the right to protect personal information.
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关键词
Automatic number plate recognition,License plate detection,Character recognition,Character segmentation,Traffic sensing
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