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

被引：4
|
作者：
Dizji, Pouya Demokri [1 ]
Joudaki, Saba [1 ]
Kolivand, Hoshang [2 ,3 ]
机构：
[1] Islamic Azad Univ, Dept Comp Engn, Khorramabad Branch, Khorramabad, Iran
[2] Liverpool John Moores Univ, Sch Comp Sci & Math, Liverpool L3 3AF, Merseyside, England
[3] Staffordshire Univ, Sch Comp & Digital Technol, Stoke On Trent, Staffs, England
来源：
WIRELESS PERSONAL COMMUNICATIONS | 2022年 / 125卷 / 04期
关键词：
TSR; SFLA; Memeplex; HOG; Unsupervised segmentation; SVM;
D O I：
10.1007/s11277-022-09718-7
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
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.
引用
收藏
页码：3425 / 3441
页数：17
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