Face　recognition　applications　can　benefit　from　the　cloud　computing　as　they　become　widely　available　and　easy　to　acquire　today.　There　are　numerous　applications　of　face　recognition　in　terms　of　security,　assistance,　guidance　and　so　on.　By　performing　the　face　recognition　on　cloud,　we　can　greatly　reduce　the　processing　time　and　clients　will　not　have　to　store　the　big　data　for　the　image　verification　on　their　local　machine　(cell　phones,　pc＇s　etc).　Cloud　computing　increases　the　processing　power　and　storage　with　very　less　cost　comparing　to　the　cost　of　acquiring　an　equally　strong　server　machine.　In　this　research　the　plan　is　to　enhance　the　user　experience　of　augmented　display　wearing　google　glass,　and　for　doing　that,　this　system　is　being　proposed　in　which　a　person　wearing　google　glass　will　send　an　image　of　a　person　to　cloud　server　powered　by　Hadoop　(open-source　software　for　reliable,　scalable,　distributed　computing)　cloud　server　will　recognize　the　face　from　the　database　already　present　on　server　and　then　response　to　client　device　(google　glass).　Then　google　glass　will　display　the　face　details　in　a　form　of　augmented　display　to　the　person　wearing　them.　By　moving　the　face　recognition　process　on　cloud,　the　device　will　require　less　processing　power,　and　by　having　the　database　on　cloud　server,　multiple　clients　will　no　longer　require　to　maintain　their　local　database.