To　solve　the　problem　of　boarding　pass　positioning　with　image　tilt　and　sticking,　we　proposed　a　jointly　boarding　pass　positioning　and　correction　algorithm　using　multi-channel　color　components.　First,　a　local　threshold　segmentation　is　performed　on　red　and　blue　components　in　RGB　color　space　to　determine　the　general　area　of　the　boarding　pass.　Then,　edge　detection　is　performed　on　the　blue　component　and　pixel　value　standardization　statistics　on　the　three　components　to　obtain　partial　edges　and　internal　information　of　the　boarding　pass　to　refine　the　binary　image.　Next,　the　watershed　algorithm　is　used　to　achieve　precise　positioning　of　the　boarding　pass.　Finally,　the　segmentation　and　the　boarding　pass　are　completely　rectified　through　perspective　transformation.　The　results　of　segmentation　and　correction　of　boarding　passes　in　actual　scenarios　show　that　the　proposed　algorithm　can　complete　segmentation　and　correction　under　complex　conditions　such　as　boarding　pass　images　sticking　to　each　other,　uneven　illumination,　and　large-angle　tilt.　The　average　time　spent　on　the　test　set　is　0.049s,　and　the　segmentation　and　correction　success　rate　is　95.16　%.　The　proposed　algorithm　has　high　application　value.　©　2023,　The　Author(s),　under　exclusive　license　to　Springer　Nature　Switzerland　AG.