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.


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    Title :

    TrALPR: Automatic License Plate Recognition using Transformers


    Contributors:


    Publication date :

    2023-12-07


    Size :

    3549900 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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