Image　recognition　technology,　as　an　important　branch　in　the　field　of　artificial　intelligence,　aims　to　process　and　analyze　images　to　recognize　objects　in　images.　The　aim　of　this　paper　is　to　summarize　the　general　approach　to　implementing　image　recognition　and　the　application　of　this　technology　in　some　fields　by　analyzing　relevant　articles　in　the　field　of　image　recognition　in　recent　years　and　to　suggest　possible　conjectures　on　the　future　direction　of　this　technology.　This　paper　points　out　that　the　image　recognition　process　is　divided　into　two　main　parts:　image　processing　and　image　recognition.　For　the　implementation　of　the　corresponding　algorithms,　this　paper　introduces　two　commonly　used　software　libraries:　OpenCV　and　YOLOv5.　In　addition,　the　paper　also　focuses　on　the　applications　and　contributions　of　image　recognition　techniques　to　face　recognition,　lane　detection,　and　medical　image　analysis.　It　is　also　pointed　out　that　image　recognition　technology　has　a　very　promising　future,　and　that　there　is　still　a　lot　of　further　improvement　in　the　field　of　medical　image　analysis.　©　2023　SPIE.