Nowadays, with the increase in population, there is also a massive increase in vehicles on the road, increasing traffic congestion and other traffic-related problems. Because of this, many cities and metropolitan are facing issues while maintaining order on the roads and traffic. Many administrations are looking towards automatic processes that can help to maintain the order on the road. For this problem, Automatic License Plate Recognition (ALPR) models can help in better management of vehicles and transportation. In this paper, the presented Automatic License Plate Recognition system can recognize the License Plate Number from images of vehicles with great accuracy. In the proposed work, a complete end-to-end transformer (encoder-decoder) architecture-based model is developed for Automatic License Plate Recognition.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    TrALPR: Automatic License Plate Recognition using Transformers


    Beteiligte:
    Rai, Vivek (Autor:in) / Kumar, Gaurav (Autor:in) / Kushwaha, Ankit Kumar (Autor:in) / Pandey, Ashish (Autor:in) / Kumar, Vinay (Autor:in) / Yadav, Sadanand (Autor:in)


    Erscheinungsdatum :

    07.12.2023


    Format / Umfang :

    3549900 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Automatic License Plate Recognition

    Chang, S.-L. | Online Contents | 2004


    Automatic license plate recognition

    Shyang-Lih Chang, / Li-Shien Chen, / Yun-Chung Chung, et al. | IEEE | 2004



    Effects of License Plate Attributes on Automatic License Plate Recognition

    Findley, Daniel J. / Cunningham, Christopher M. / Chang, Jeffrey C. et al. | Transportation Research Record | 2013