With　the　continuous　development　of　social　economy,　the　road　traffic　system　as　one　of　the　basis　of　national　economy　is　also　increasingly　developed,　which　is　followed　by　the　traffic　safety　problems　are　increasingly　prominent.　Among　them,　driving　violations　such　as　not　obeying　traffic　signs　are　the　main　cause　of　traffic　accidents.　In　this　research,　Traffic　Sign　Recognition　(TSR)　has　become　a　hot　research　topic.　The　research　status　and　application　field　of　traffic　sign　detection　and　recognition　technology　are　introduced　and　analyzed　in　detail,　and　the　improvement　of　traffic　sign　database　is　introduced.　After　that,　the　application　of　CNN　in　image　processing　and　traffic　sign　recognition　is　introduced,　and　the　existing　problems　in　traffic　sign　recognition　are　analyzed.　The　CNN　deep　learning　network　used　in　this　paper　can　conduct　training　while　identifying　targets,　effectively　improve　the　recognition　accuracy　of　traffic　signs　under　complex　natural　conditions　and　reduce　the　time　consumption.　©　2023　Elsevier　B.V..　All　rights　reserved.