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

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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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Data sharing is not applicable to this article as no new data were created or analyzed in this study.

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There is no funding received for this research work.

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Authors and Affiliations

  1. Department of Computer Engineering, Khorramabad Branch, Islamic Azad University, Khorramabad, Iran

    Pouya Demokri Dizji & Saba Joudaki

  2. School of Computer Science and Mathematics, Liverpool John Moores University, Liverpool, L3 3AF, UK

    Hoshang Kolivand

  3. School of Computing and Digital Technologies, Staffordshire University, Staffordshire, UK

    Hoshang Kolivand

Authors
  1. Pouya Demokri Dizji
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  2. Saba Joudaki
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  3. Hoshang Kolivand
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Correspondence to Saba Joudaki.

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Demokri Dizji, P., Joudaki, S. & Kolivand, H. A New Traffic Sign Recognition Technique Taking Shuffled Frog-Leaping Algorithm into Account. Wireless Pers Commun 125, 3425–3441 (2022). https://doi.org/10.1007/s11277-022-09718-7

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  • DOI: https://doi.org/10.1007/s11277-022-09718-7

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