References

Ardianto, S., C.J. Chen and H.M. Hang, 2017. Real-time traffic sign recognition using color segmentation and SVM. Proceedings of the 2017 International Conference on Systems, Signals and Image Processing (IWSSIP), May 22-24, 2017, IEEE, Poznan, Poland, ISBN:978-1-5090-6345-1, pp: 1-5.

Bilgin, E. and S. Robila, 2016. Road sign recognition system on Raspberry Pi. Proceedings of the 2016 IEEE International Conference on Long Island Systems, Applications and Technology (LISAT), April 29, 2016, IEEE, Farmingdale, New York, USA., ISBN:978-1-4673-8490-2, pp: 1-5.

Ellahyani, A. and M. El Ansari, 2016. Complementary features for traffic sign detection and recognition. Proceedings of the 2016 IEEE/ACS 13th International Conference on Computer Systems and Applications (AICCSA), November 29-December 2, 2016, IEEE, Agadir, Morocco, ISBN:978-1-5090-4321-7, pp: 1-6.

Kim, S. and S. Kwon, 2015. Improvement of traffic sign recognition by accurate ROI refinement. Proceedings of the 2015 15th International Conference on Control, Automation and Systems (ICCAS), October 13-16, 2015, IEEE, Busan, South Korea, pp: 926-928.

Santosa, B., 2010. Tutorial support vector machine. Support Vector Mach., 1: 1-23.
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Sugiharto, A. and A. Harjoko, 2016. Traffic sign detection based on HOG and PHOG using binary SVM and k-NN. Proceedings of the 2016 3rd International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE), October 19-20, 2016, IEEE, Semarang, Indonesia, ISBN:978-1-5090-1434-7, pp: 317-321.

Zhang, M., H. Liang, Z. Wang and J. Yang, 2014. Real-time traffic sign detection and recognition for intelligent vehicle. Proceedings of the 2014 IEEE International Conference on Mechatronics and Automation, August 3-6, 2014, IEEE, Tianjin, China, ISBN:978-1-4799-3978-7, pp: 1125-1131.