Privacy-preserving　outsourcing　algorithms　for　feature　extraction　not　only　reduce　users＇　storage　and　computation　overhead　but　also　preserve　the　image　privacy.　However,　the　existing　schemes　still　suffer　from　deficiencies　induced　by　security,　applications,　efficiency　and　storage.　To　solve　the　problems,　we　implement　a　consortium　chain-based　outsourcing　feature　extraction　scheme　over　encrypted　images　by　using　the　smart　contract,　distributed　autonomous　corporation　(DAC),　sharding　technique,　and　device　to　device　(D2D)　communication,　which　is　secure,　widely　applied,　highly　efficient,　and　has　less　storage　overhead.　First,　the　effectiveness,　security,　and　performance　of　our　scheme　are　analyzed.　Then,　the　efficiency　and　storage　overhead　of　our　scheme　are　presented　by　conducting　experimental　results.　©　2013　IEEE.