In the paper, a new algorithm for traffic sign recognition is presented. It is based on a shape detection algorithm that classifies the shape of the content of a sign using the capabilities of a Support Vector Machine (SVM). Basically, the algorithm extracts the shape inside a traffic sign, computes the projection of this shape and classifies it into one of the shapes previously trained with the SVM. The most important advances of the algorithm is its robustness against image rotation and scaling due to camera projections, and its good performance over images with different levels of illumination. The work is part of a traffic sign detection and recognition system, and in the paper the authors will focus solely on the recognition step.


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    Title :

    Shape classification algorithm using support vector machines for traffic sign recognition


    Additional title:

    Algorithmus zur Formklassifikation, der 'Support Vector Machines' zur Erkennung von Verkehrszeichen verwendet


    Contributors:


    Publication date :

    2005


    Size :

    8 Seiten, 6 Bilder, 2 Tabellen, 8 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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