Acne　has　become　a　problem　which　people　increasingly　focus　on　since　its　high　incidence　and　the　scar　after　cure,　etc.　With　the　advantage　of　no　scar　and　no　side　effects,　Traditional　Chinese　Medicine　(TCM)　in　treatment　of　acne　by　tongue　diagnosis　has　gained　more　and　more　attention.　Due　to　its　qualitative,　subjective　and　experience-based　nature,　and　the　type　of　acne　is　various,　traditional　diagnosis　has　a　very　limited　application　in　clinical　medicine.　Moreover,　traditional　tongue　diagnosis　is　always　concerned　with　the　identification　of　syndromes　rather　than　with　the　connection　between　tongue　abnormal　appearances　and　diseases.　In　this　paper,　we　proposed　a　novel　tongue　diagnosis　analysis　method　based　on　HSV　color　space　aiming　to　diagnose　three　common　type　of　acne　tongue.　With　this　method,　not　only　can　extract　the　color　characteristics　of　the　tongue,　it　also　preliminarily　integrates　the　information　of　tongue　coating,　tongue　body　and　color　characteristics　into　the　one-dimensional　histogram;　Meanwhile,　Gray　level　Co-occurrence　Matrix(GLCM)　is　applied　to　extract　five　commonly　used　features　of　tongue　coating.　Results　show　that　the　method　can　get　the　desired　classification　effect　successfully.　©　2013　ACM.