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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 4/2022

28.06.2022

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

verfasst von: Pouya Demokri Dizji, Saba Joudaki, Hoshang Kolivand

Erschienen in: Wireless Personal Communications | Ausgabe 4/2022

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Abstract

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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Metadaten
Titel
A New Traffic Sign Recognition Technique Taking Shuffled Frog-Leaping Algorithm into Account
verfasst von
Pouya Demokri Dizji
Saba Joudaki
Hoshang Kolivand
Publikationsdatum
28.06.2022
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 4/2022
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-022-09718-7

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