Abstract An algorithm based on HOG (Histograms of Oriented Gradients) and SVM (Support Vector Machine) is developed for traffic sign recognition on Android platform, and the dynamics link library is used as the native layer of Android end by employing Android NDK (Native Development Kit) technology. The test results show that the algorithm can be successfully applied to the Android platform, and Android NDK technology can implement the cross-platform and portability of the programs, while improving the detection and recognition speed.


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    Title :

    Design of the Traffic Sign Recognition System Based on Android Platform


    Contributors:
    Qiang, Jie (author) / Wang, Shujing (author) / Shan, Zhenhua (author)


    Publication date :

    2017-01-01


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    TRAFFIC SIGN RECOGNITION SYSTEM

    MORITANI TAKAYUKI / OTSUBO YASUTAKA / ARINAGA TSUYOSHI | European Patent Office | 2017

    Free access

    Traffic sign recognition system

    MORITANI TAKAYUKI / OTSUBO YASUTAKA / ARINAGA TSUYOSHI | European Patent Office | 2018

    Free access

    Traffic sign recognition system

    MORITANI TAKAYUKI / OTSUBO YASUTAKA / ARINAGA TSUYOSHI | European Patent Office | 2018

    Free access

    TRAFFIC SIGN RECOGNITION SYSTEM

    MORITANI TAKAYUKI / OTSUBO YASUTAKA / ARINAGA TSUYOSHI | European Patent Office | 2017

    Free access

    Traffic sign recognition system

    MORITANI TAKAYUKI / OTSUBO YASUTAKA / ARINAGA TSUYOSHI | European Patent Office | 2017

    Free access