There　are　several　methods　for　quantitative　determination　of　human　chorionic　gonadotropin　(hCG),　among　these　methods,　the　gold　immunochromatographic　assay　has　the　advantages　of　simple　operation,　low　costs　and　short　operation　time.　However,　this　assay　can　only　get　qualitative　or　semi-quantitative　results　when　observed　directly　with　naked　eyes.　By　combining　the　fuzzy　C-means　algorithm　and　the　Support　Vector　Regression　(SVR),　this　paper　presents　a　rapid　quantitative　determination　method　of　hCG　immunochromatographic　assay　strip.　In　this　paper,　SVR　is　used　to　predict　the　hCG　concentration.　In　the　experiment,　the　data　derived　from　35　strips　CCD　image　are　used　for　SVR　model　training;　on　the　other　hand,　the　data　derived　from　other　18　strips　are　used　for　model　testing.　The　results　show　that　the　SVR　yields　a　good　result,　the　total　MSE　of　the　18　strips　is　10.2.　The　CV　is　7.07%.　This　method　is　proved　to　be　practical　and　objective,　as　well　as　enhances　the　detection　sensitivity　in　some　extent.　©　2011　IEEE.