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Traffic Sign Detection and Recognition Methods, Review, Analysis and Perspectives

EasyChair Preprint no. 8403

18 pagesDate: July 6, 2022


Road Sign Recognition is a branch of applied computer vision research that deals with the automatic detection and classification of traffic signs in images of traffic scenes. The purpose of this review paper is to look after the various classification techniques that can be used to build a system that recognizes road signs in images. The primary goal is to study literature available on the road traffic signs detection and recognition that can identify various types of road signs from static digital images in a reasonable amount of time. In this review paper, we will look at various learning systems for classification that are based on prior knowledge.

A road sign recognition system must solve a classic pattern recognition problem: distinguishing between different road signs. Furthermore, the location of the road sign in the image is unknown. Once these hurdles are cleared, such a system could be integrated into a Smart Driver system.

Keyphrases: detection, recognition, traffic signs

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Kanan Miniyar},
  title = {Traffic Sign Detection and Recognition Methods, Review, Analysis and Perspectives},
  howpublished = {EasyChair Preprint no. 8403},

  year = {EasyChair, 2022}}
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