Abstract This paper introduces a novel real-time framework which enables detection, tracking and recognition of license plates from video sequences. An efficient algorithm based on analysis of Maximally Stable Extremal Region (MSER) detection results allows localization of international license plates in single images without the need of any learning scheme. After a one-time detection of a plate it is robustly tracked through the sequence by applying a modified version of the MSER tracking framework which provides accurate localization results and additionally segmentations of the individual characters. Therefore, tracking and character segmentation is handled simultaneously. Finally, support vector machines are used to recognize the characters on the plate. An experimental evaluation shows the high accuracy and efficiency of the detection and tracking algorithm. Furthermore, promising results on a challenging data set are presented and the significant improvement of the recognition rate due to the robust tracking scheme is proved.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    DEVICE AND METHOD FOR DETECTING VEHICLE LICENSE PLATES

    MITIC SLADJAN | European Patent Office | 2019

    Free access

    APPARATUS AND METHOD FOR RECOGNIZING LICENSE PLATE

    European Patent Office | 2017

    Free access

    APPARATUS AND METHOD FOR RECOGNIZING LICENSE PLATE

    SHIN EUI SEOB / YIM KANG BIN | European Patent Office | 2016

    Free access

    SYSTEM AND METHOD FOR RECOGNIZING LICENSE PLATE

    GO HYEONG HWAN | European Patent Office | 2015

    Free access

    SYSTEM FOR RECOGNIZING FRONT AND BACK FACE OF LICENSE PLATE USING VIDEO TRACKING

    KIM HEE JUNG / NA HYEONG SUK / IM DO HOON et al. | European Patent Office | 2017

    Free access