A Novel Technique for Recognizing Traffic Sign Board Images in a Safe Driving Environment
Abhinav Vinod Deshpande *
School of Electronics Engineering (SENSE), Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, 632014, India.
*Author to whom correspondence should be addressed.
Abstract
The difficulties which are faced during roadway symbols through an ideal are focused in this review paper. Persons gets mislead because of wrong interpretation of a particular traffic sign. It is one of the problems which are troubling the industry. It is also the major cause of road accidents. There are different environmental factors, for example, smoke, rain, fog, humid weather, dust etc. which contribute to the misunderstanding of traffic sign boards. In this research paper, the different techniques of recognizing roadway symbols are enumerated.
Keywords: Genomic imprinting in Isoetes, Image Denoising, Abrupt DNA methylation, Image Enhancement, Origin of heterospory, Image Segmentation, Evolutionary strategies., Image Feature Extraction, Image Classification, Deep Learning
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References
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