Most current license plate detection (LPD) systems target only the vehicles in a single lane or at a short distance from the camera (i.e. each frame contains only one vehicle). Most of these systems utilizing edge features to detect license plates on distant multi-lane vehicles directly would fail because there are many edge features and the edges of the license plate would be interfered with by different types of vehicles and the background. In this paper, we propose a hierarchical approach that detects individual vehicles first, locates the region containing the license plate, and finally extracts the license plate. To verify the effectiveness of the proposed system, four-lane and two-lane video samples were used for testing. The car detection rates were almost 100% for both the two-lane and the four-lane videos. The LPD rate was 85% for the two-lane video and 92% for the four-lane video.


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    Title :

    A Hierarchical Approach to License Plate Detection on Distant Multi-Lane Vehicles


    Contributors:

    Conference:

    Second International Conference on Transportation Information and Safety ; 2013 ; Wuhan, China


    Published in:

    ICTIS 2013 ; 842-849


    Publication date :

    2013-06-11




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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