IDENTITY RECOGNITION METHOD AND APPARATUS BASED ON DYNAMIC RASTERIZATION MANAGEMENT, AND SERVER

The present application provides an identity recognition method and apparatus based on dynamic rasterization management, and a server. The method comprises: tracking the current position of each user to determine the current raster region where each user is located; receiving a recognition request s...

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Bibliographische Detailangaben
Hauptverfasser:	HUANG, Feiying, CHEN, Qiurong, LIANG, Huagui, PI, Aiping, JIAN, Weiming
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	The present application provides an identity recognition method and apparatus based on dynamic rasterization management, and a server. The method comprises: tracking the current position of each user to determine the current raster region where each user is located; receiving a recognition request sent by a service terminal, wherein the recognition request comprises first position information and living body biological characteristic information of a target object; determining a first raster region where the service terminal is located based on the first position information; obtaining biological characteristic information of each user of which the current raster region is the first raster region; and completing identity recognition according to the living body biological characteristic information of the target object and the biological characteristic information of each user in the first grid region. According to the present application, the identity recognition process can be further simplified, the user experience during identity recognition is improved, and moreover, the risk of identity recognition can be reduced.