Face　diagnosis　of　Traditional　Chinese　Medicine　(TCM)　is　carried　out　by　observing　the　facial　complexion　to　obtain　the　disease　diagnostic　results.　Color　space　based　on　human　visual　system　will　be　more　conducive　to　facial　complexion　recognition,　which　is　more　suitable　to　measure　and　distinguish　facial　complexion.　Uniform　color　space　based　facial　complexion　recognition　for　TCM　is　proposed　in　this　paper,　which　include:　(1)　the　skin　blocks　in　the　human　facial　region　are　extracted　by　locating　the　eye　position　and　mouth　corner　accurately;　(2)　the　statistical　characteristic　of　color　histogram　and　the　characteristic　of　aberration　chromatic　in　Lab　color　space　are　introduced　to　extract　the　facial　complexion　feature;　(3)　the　support　vector　machine　(SVM)　is　used　to　evaluate　the　performance　of　facial　complexion　recognition.　The　experimental　results　show　the　proposed　complexion　feature　can　achieve　good　performance,　with　the　facial　complexion　recognition　rate　up　to　81%.　©　2014　IEEE.