Rare　Chinese　herbal　medicine,　Tetrastigma　Hemsleyanum　Diels　et　Gilg(T.　hemsleyanum),　has　good　medicinal　value.　However,　the　quality　of　T.　hemsleyanum　varies　greatly　from　different　origins.　In　order　to　prevent　T.　hemsleyanum　from　being　inferior,　the　origin　identification　is　particularly　important.　In　this　paper,　the　feasibility　of　a　rapid　identification　of　different　origins　for　T.　hemsleyanum　using　High　performance　liquid　chromatographic　(HPLC)　fingerprint　system　was　investigated.　Twenty-three　chromatographic　peaks　were　identified　as　characteristic　fingerprint　peaks　of　T.　hemsleyanum.　Then,　combining　principal　component　analysis　(PCA)　and　Adaboost　method　with　logistic　regression　(Adaboost　-LR)　as　weak　classifier,　the　origin　identification　model　is　established.　Experiments　show　that　the　correct　rate　of　origin　identification　can　reach　100%　with　the　combination　of　HPLC　fingerprint　and　the　proposed　identification　model.　Hence,　HPLC　fingerprint　with　Adaboost-LR　is　effective　and　feasible　to　discriminate　the　geographical　origin　of　T.　hemsleyanum.　©　2019　IEEE.