The　traditional　test　of　the　system　using　graphical　interface　determines　the　test　results　by　manual.　With　the　higher　accuracy　requirements　of　the　test　software　system　in　current　industrial　domain,　the　traditional　manual　testing　has　the　problems　of　high　costs,　low　accuracy　and　efficiency.　Then　an　automatic　test　system　based　on　image　matching　algorithm　is　proposed　to　simulate　manual　automatic　test　result.　Firstly,　the　architecture　of　automatic　test　system　is　researched,　which　reduces　the　test　cost.　Then,　an　automatically　selected　method　by　template　matching　algorithm　and　ORB　algorithm　for　the　complexity　of　the　target　images,　which　improves　the　matching　rate　and　accuracy.　Finally,　an　image　similarity　calculation　algorithm　based　on　perceptual　hash　algorithm　is　built,　which　improves　the　test　accuracy　and　efficiency　twice.　The　experimental　results　show　that　the　accuracy　achieved　to　97%,　which　meets　the　accuracy　requirements　for　the　industrial　field.　©　2023　SPIE.