Vehicle license plate, also known as a number plate, represents a legal license to participate in the public traffic. It plays an important role in detecting stolen vehicles, controlling traffic volume, ticketing speeding vehicles, and so on. In this paper, we presented a deep learning method for the detection of car license plate. We train a region proposal network and use the output of the RPN to train the R-CNN. The training time for complex large images is shortened to a controllable range. The detection time of the target area is shortened to quasi real time, and the accuracy is also considerable.


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    Title :

    Chinese License Plate Detection Based on Deep Neural Network


    Contributors:


    Publication date :

    2018-09-01


    Size :

    3789637 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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