In　this　paper,　we　proposed　an　indoor　localization　technique　which　use　WLAN　fingerprint　and　magnetic　field　fingerprint　with　landmarks　detection.　First,　we　use　WLAN　RSS　fingerprint　and　magnetic　field　fingerprint　to　improve　fingerprint＇s　spatial　and　time　characterization　and　localization　accuracy.　Second　against　the　special　position　like　stairs,　elevators,　etc.,　we　mark　the　special　position　as　landmarks　and　use　the　accelerometer　sensor　data　to　detect　whether　the　user　is　in　the　special　position.　Through　landmarks　detection　we　can　reduce　the　impact　of　the　limitations　of　location　fingerprinting　positioning　effectively　and　improve　the　localization　algorithm＇s　efficiency.　Experimental　results　show　that,　compared　to　a　single　widely　used　WLAN　RSS　fingerprint　localization　algorithm,　the　proposed　algorithm　can　effectively　improve　the　accuracy　and　efficiency　of　indoor　location.　©　2017　IEEE.