source code for number plate recognition with optical character recognition
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SOurce code for number plate recognition with optical
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Automatic Number Plate Recognition (ANPR) is an image processing technology that uses the number plate (license plate) to identify the vehicle. The goal is to design an efficient automatic vehicle identification system authorized using the vehicle license plate. The system is implemented at the entrance to the security control of a highly restricted area such as military zones or the area around the top government offices, The Parliament, the Supreme Court, etc. The developed system first detects the vehicle and then captures the vehicle image.


The region of the vehicle's number plate is extracted using image segmentation in an image. The optical character recognition technique is used for character recognition. The resulting data is used to compare it with the records of a database to obtain specific information such as the owner of the vehicle, place of registration, address, etc. The system is implemented and simulated in Matlab and its performance is tested in the actual image. It is observed from the experiment that the developed system successfully detects and recognizes the vehicle number plate in real images.

Plate recognition is a form of automatic vehicle identification. A number plate is the unique identification of the vehicle. It is an image processing technology used to identify vehicles with their own license plates. Real-time plate recognition plays an important role in maintaining law enforcement and maintaining traffic rules. It has wide areas of applications such as toll plaza, parking area, high security areas, areas of the inmates, etc. The identification badge is designed to identify the license plate and then automatically recognize the license plate of a moving vehicle.

Automatic license plate recognition has three main parts: vehicle license plate extraction, character segmentation and optical character recognition (OCR). Removal of the number plate is the step in which the number plate of the vehicle is detected. The detected number plate is preprocessed to eliminate the noise and then the result is passed to the segmentation part to individually segment the characters of the extracted number plate. The segmented characters are normalized and passed to an OCR algorithm. Finally, the information of the optical characters will be converted into encoded text. Characters are recognized using template matching. The final result must be in the form of a string.
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