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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Traffic Signs Recognition using HP and HOG Descriptors Combined to MLP and SVM Classifiers

Author 1: A. Salhi
Author 2: B. Minaoui
Author 3: M. Fakir
Author 4: H. Chakib
Author 5: H. Grimech

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2017.081165

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 11, 2017.

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Abstract: Detection and recognition of traffic signs in a video streams consist of two steps: the detection of signs in the road scene and the recognition of their type. We usually evaluate globally this process. This evaluated approach unfortunately does not allow to finely analyze the performance of each step. It is difficult to know what step needs to be improved to obtain a more efficient system. Our previous work focused on a real-time detection of road signs, by improving the performances of the detection step in real time. In this paper, we complete the work by focusing on recognition step, where we compare the performances between histogram projection (HP) descriptor, and the histogram-oriented gradient (HOG) descriptor combined with the Multi-Layer Perceptron (MLP) classifier, and the Support Vector Machine (SVM) classifier, to compute characteristics and descriptors of the objects extracted in the step of detection, and identify the kind of traffic signs. Experimental results present the performances of the four combinations of these methods “Descriptor-Classifier” to identify which of them could have high performance for traffic sign recognition.

Keywords: Traffic signs detection and recognition; Histogram of oriented gradient (HOG); Support Vector Machine (SVM); Histogram projection (HP); Multi-layer perceptron (MLP)

A. Salhi, B. Minaoui, M. Fakir, H. Chakib and H. Grimech, “Traffic Signs Recognition using HP and HOG Descriptors Combined to MLP and SVM Classifiers” International Journal of Advanced Computer Science and Applications(IJACSA), 8(11), 2017. http://dx.doi.org/10.14569/IJACSA.2017.081165

@article{Salhi2017,
title = {Traffic Signs Recognition using HP and HOG Descriptors Combined to MLP and SVM Classifiers},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.081165},
url = {http://dx.doi.org/10.14569/IJACSA.2017.081165},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {11},
author = {A. Salhi and B. Minaoui and M. Fakir and H. Chakib and H. Grimech}
}


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