Road sign detection using edited shuffled frogs leaping algorithm

Zaibi, Ameur; Ladgham, Anis; Sakly, Anis

doi:10.1504/ijvs.2021.115888

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2022

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“…Zaibi et al [ 8 ] using a traffic sign detection system by an improved shuffled frogs leaping algorithm. This mentioned driver assistance system recognizes traffic signs which have a red border with circular, hexagonal and triangular shapes.…”

Section: Related Workmentioning

confidence: 99%

A New Traffic Sign Recognition Technique Taking Shuffled Frog-Leaping Algorithm into Account

Dizji

Joudaki

Kolivand

2022

Wireless Pers Commun

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Everyday humans use cars to move faster, and the world is a chaotic place, and a little distraction or a mistake could be the reason for an accident and bring people great pain. An assistance system that can distinguish and detect signs on the roads and brings the driver's attention to road signs and make them aware of their meaning could be beneficial. The most important part of the Traffic Sign Recognition System is the algorithm. In this paper, a new way toward Traffic Sign Recognition algorithm taking the advantages of Color Segmentation, support vector machines, and histograms of oriented gradients on the GTSRB dataset is proposed. The unsupervised shuffled frog-leaping algorithm is employed for segmenting the images. The results show remarkable improvements by using meta-heuristic algorithms.

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Section: Related Workmentioning

confidence: 99%