This paper presents an approach to detect and recognize traffic signs present in the urban scenes in China. The algorithm is composed of three steps that are color segmentation, shape detection and pictogram recognition. In the first step Ridge Regression is used to obtain a precise segmentation in RGB color space and achieves the same good performance as many machine learning based methods while using less computation time. Recognition process include a novel feature extraction involves OTSU method, and the feature extracted is robust against illumination variations and distortions. The algorithm has been run on several thousands of images with promising results.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Traffic sign recognition using Ridge Regression and OTSU method


    Contributors:


    Publication date :

    2011-06-01


    Size :

    640513 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Traffic Sign Recognition Using Ridge Regression and OTSU Method

    Jiang, Y. / Zhou, S. / Gong, J. et al. | British Library Conference Proceedings | 2011


    TRAFFIC SIGN RECOGNITION DEVICE AND TRAFFIC SIGN RECOGNITION METHOD

    MIYASATO KAZUHIRO / KOYASU TOSHIYA | European Patent Office | 2023

    Free access

    TRAFFIC SIGN RECOGNITION DEVICE AND TRAFFIC SIGN RECOGNITION METHOD

    SHINOMIYA TERUHIKO | European Patent Office | 2017

    Free access

    Traffic sign recognition

    Howard, A.R. | Engineering Index Backfile | 1964


    Traffic Sign Recognition

    Shree, P.Jaya / Ishwarya, T.Sri / Varshini, S. et al. | IEEE | 2025