The authors present a method for locating car license plates using neural networks. Neural networks are used as filters for analysing small windows of an image and deciding whether each window contains a license plate. A post-processor combines these filtered images and gives the final location of the license plates. The method offers robustness when dealing with noisy images. Tests with car images travelling on the road and at the entrance of a car park showed extraction rates of 99 and 97.5%, respectively. These results suggest that the proposed method works well with real-world situations.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Locating car license plates using neural networks


    Contributors:
    Park, S.H. (author) / Kim, K.I. (author) / Jung, K. (author) / Kim, H.J. (author)

    Publication date :

    1999-08-19


    Size :

    3 pages



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Reading car license plates using deep neural networks

    Li, Hui / Wang, Peng / You, Mingyu et al. | British Library Online Contents | 2018


    Motor Vehicle License Plates

    SAE Technical Papers | 1999


    Motor Vehicle License Plates

    SAE Technical Papers | 2012


    MOTOR VEHICLE LICENSE PLATES

    SAE Technical Papers | 1968


    LICENSE PLATES FOR A VEHICLE

    European Patent Office | 2016

    Free access