The　paper　presents　a　comprehensive　evaluation　method　on　shape　consistency　by　using　three-dimensional　scanning,　reverse　engineering　and　post-processing.　The　complete　evaluation　scheme　includes　data　collection,　model　alignment　and　the　quality　consistency　evaluation.　Firstly,　the　point　cloud　data　is　obtained　by　using　3D　scanning.　Secondly,　the　printed　object　and　the　model　are　aligned,　and　we　also　get　the　visual　point-to-point　deviation.　Thirdly,　some　parameters　of　surface　roughness　are　defined　to　evaluate　comprehensive　quality　for　personalized　3D　printed　object.　Two　printed　objects　from　FDM　and　DLP　printer　are　utilized　to　test　the　proposed　scheme.　The　experimental　results　show　that　DLP　printing　is　more　precise　than　FDM　printing,　and　it　is　consistent　with　the　common　sense.　And　it　also　demonstrates　that　the　efficiency　of　the　proposed　scheme　to　some　extent.