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License Plate Detection using CNN

Prathamesh Sudhir Mestry, Majid Masoom Deshmukh, Harshal Ganesh Narkhede, Diksha G. Kumar


Tag recognition is a picture preparing innovation used to distinguish vehicles by their tags. This advancement is used in various security and traffic applications. Deep learning employs complex mechanisms to extract features from samples This paper proposes a system trained using the MobileNetV2 convolutional neural network (CNN) model to detect the characters and digits from vehicle license plates. Our approach is highly influenced by the recent advancements made in the field of neural networks. The system achieves an accuracy of 98.67% for license plates with English characters and digits.


Automatic number plate recognition (ANPR), CNN, character recognition, character segmentation, contour matching, license plate recognition (LPR)

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