License plate detection for multi-national vehicles – a generalized approach

Muhammad Rizwan Asif, Chun Qi*, Tiexiang Wang, Muhammad Sadiq Fareed, Subhan Khan

*Corresponding author for this work

    Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

    Abstract

    License plate detection for vehicle identification is one of the key problems for traffic surveillance in urban areas. Most of the existing methods that can handle multiple license plates are country-specific as color information has been typically targeted. In this paper, we propose a real-time multiple license plate detection method feasible for multi-national vehicles having variable colors, sizes and geometrical attributes. A region-of-interest is initially identified for each vehicle using a fuzzy inference system based on the salient feature of its rear lights as license plates generally exist in a vicinity of these lights. Due to the abundance of edges within the license plate region, a local recursive analysis approach is utilized to locate the license plate candidate within each region-of-interest after tilt correction using a rear-light alignment technique. To verify the detected region as a true license plate, a unique combination of local image features is used to achieve high precision. The proposed method has been tested on 2200 images taken during various weather and illumination conditions to detect 5379 license plates out of 5945 available vehicles with 90.5% accuracy. The proposed approach outperforms the conventional and deep learning methods to achieve superior performance with the ability of being applied to multi-national vehicles.

    Original languageEnglish
    JournalMultimedia Tools and Applications
    Volume78
    Issue24
    Pages (from-to)35585-35606
    Number of pages22
    ISSN1380-7501
    DOIs
    Publication statusPublished - Dec 2019

    Keywords

    • Intelligent vision system
    • License plate detection
    • Local image features
    • Multi-national vehicles
    • Vehicle identification
    • Vehicle rear lights

    Fingerprint

    Dive into the research topics of 'License plate detection for multi-national vehicles – a generalized approach'. Together they form a unique fingerprint.

    Cite this