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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Qiang, J., Wang, S., Shan, Z. (2017). Design of the Traffic Sign Recognition System Based on Android Platform. In: Fei, M., Ma, S., Li, X., Sun, X., Jia, L., Su, Z. (eds) Advanced Computational Methods in Life System Modeling and Simulation. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 761. Springer, Singapore. https://doi.org/10.1007/978-981-10-6370-1_57
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DOI: https://doi.org/10.1007/978-981-10-6370-1_57
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