The　fuzzy　vault　scheme　has　recently　become　popular　approaches　to　biometric　template　protection.　Since　the　original　scheme　has　been　designed　to　work　with　unordered　biometric　features,　such　a　scheme　cannot　effectively　utilize　order　information.　We　present　in　this　paper　a　new　fuzzy　vault　scheme　that　can　effectively　utilize　the　ordered　characteristics　of　biometric　features.　In　this　scheme,　we　develop　ordered　fuzzy　vault　encoding　and　decoding　processes　in　order　to　utilize　the　ordered　information　of　the　features.　This　prevents　the　feature　components　from　cross　matching　and　reduces　false　acceptance　ratio　(FAR).　Furthermore,　the　original　biometric　features　(or　original　template)　are　transformed　into　binary　features　(or　secure　template)　by　random　transformation.　The　transformed　secure　template　provides　both　diversity　and　revocability.　This　transform　also　prevents　an　adversary　from　obtaining　the　original　biometric　template　from　the　secure　template　and　therefore　enhance　the　secure　level　of　the　scheme.　Based　on　the　proposed　scheme,　we　design　an　online　authentication　application　framework　implemented　using　face　images.　We　compare　our　scheme　with　two　contemporary　approaches　to　verify　the　effectiveness　of　this　approach.　Experimental　results　show　that　our　scheme　is　able　to　achieve　an　improved　performance　with　several　desired　properties　of　an　online　authentication　system.　©　2011　ACADEMY　PUBLISHER.