Image　matching,　also　known　as　correspondence　problem,　can　be　defined　as　the　establishment　of　the　correspondence　between　two　or　more　digital　images　depicting　at　least　partly　the　same　scene.　In　this　paper,　we　propose　a　method　for　matching　gray-scale　images　consisting　of　quantum　information.　Quantum　template　image　is　directly　mapped　with　quantum　reference　image,　i.e.,　the　quantum　register　representing　each　corresponding　pixel　of　the　quantum　template　image　is　subtracted　from　that　of　the　quantum　reference　image　by　running　a　quantum　subtracter.　According　to　the　quantum　measurement　results,　we　can　save　the　gray-scale　difference　and　sum　all　the　differences.　Then　we　compare　the　sum　with　Tolerance　value.　If　the　sum　is　smaller　than　Tolerance　value,　then　quantum　image　matching　succeeds.　Experimental　simulations　show　that　the　proposed　approach　can　distinguish　any　two　quantum　gray-scale　images　successfully.　Compared　to　the　schemes　based　on　flexible　representation　of　quantum　images　(FRQI),　our　approach　based　on　novel　enhanced　quantum　representation　of　digital　images　(NEQR)　has　the　advantages　of　retrieving　the　original　classical　image　accurately　from　the　quantum　image　so　that　it　can　be　generalized　to　the　case　where　the　dimension　of　quantum　template　image　is　smaller　than　that　of　quantum　reference　image.　(C)　2015　Elsevier　GmbH.　All　rights　reserved.