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Indonesian traffic sign detection based on Haar-PHOG features and SVM classification
2020
International Journal on Smart Sensing and Intelligent Systems
Segmentation and feature extraction contributes to improved accuracy in traffic sign detection. As traffic signs are often located in complex environments, it is essential to develop feature extraction based on shapes. The Haar-PHOG feature is a development of both HOG and PHOG based on Canny edge detection. One of its advantages is that PHOG feature conducts calculation in four different frequencies of LL, HL, LH, and HH. Results from experiments on four roads in Central Java and Yogyakarta
doi:10.21307/ijssis-2020-026
fatcat:6wvlhmj7e5e5ha4f5jaa5r73pq