In this paper, an Iranian vehicle license plate recognition system based on a new localization approach, which is modified to reflect the local context, is proposed, along with a hybrid classifier that recognizes license plate characters. The method presented here is based on a modified template-matching technique by the analysis of target color pixels to detect the location of a vehicle’s license plate. A modified strip search enables localization of the standard color-geometric template utilized in Iran and several European countries. This approach uses periodic strip search to find the hue of each pixel on demand. In addition, when a group of target pixels is detected, it is analyzed to verify that its shape and aspect ratio match those of the standard license plate. In addition to being scale and rotation invariant, this method avoids time-consuming image algorithms and transformations for the whole image pixels, such as resizing and Hough, Fourier, and wavelet transforms, thereby cutting down the detection response time. License plate characters are recognized by a hybrid classifier that comprises a decision tree and a support vector machine with a homogeneous fifth-degree polynomial kernel. The performance detection rate and the overall system performance achieved are 96% and 94%, respectively.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An Iranian License Plate Recognition System Based on Color Features


    Beteiligte:


    Erscheinungsdatum :

    2014-08-01


    Format / Umfang :

    2351040 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    LICENSE PLATE RECOGNITION SYSTEM AND LICENSE PLATE RECOGNITION METHOD

    CHEN SHU-HENG / LIAO CHIH-LUN / SHEN CHENG-FENG et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    License plate recognition system and license plate recognition method

    CHEN SHU-HENG / LIAO CHIH-LUN / SHEN CHENG-FENG et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    LICENSE PLATE RECOGNITION SYSTEM, LICENSE PLATE RECOGNITION METHOD, AND PROGRAM

    KOJIMA YOHEI / NAKAYAMA HIROYUKI / OWARI NOBUYUKI et al. | Europäisches Patentamt | 2023

    Freier Zugriff