CPC G06V 40/172 (2022.01) [G06F 16/5866 (2019.01); G06Q 10/105 (2013.01); G06V 40/50 (2022.01)] | 17 Claims |
1. A method for deploying a face sample library, comprising:
obtaining historical business information of users corresponding to face samples in a password face sample library under a condition that a number of face samples in the password face sample library is greater than or equal to a preset sample number threshold, wherein confidential business passwords of the users corresponding to the face samples in the same password face sample library are the same;
dividing the password face sample library to obtain M levels of face sample sub-libraries according to the historical business information, where M is a positive integer;
performing face recognition processing based on the obtained M levels of face sample sub-libraries,
wherein the dividing the password face sample library to obtain M levels of face sample sub-libraries according to the historical business information comprises:
dividing at least one password face sample library to obtain at least one level-1 face sample sub-library according to an attribute of a type of historical business information;
for each level-1 face sample sub-library, obtaining a number of face samples in the level-1 face sample sub-library, and under a condition that the number of face samples in the level-1 face sample sub-library is greater than or equal to the preset sample number threshold, dividing the level-1 face sample sub-library to obtain at least one level-2 face sample sub-library according to an attribute of another type of historical business information;
for each level-2 face sample sub-library, obtaining a number of face samples in the level-2 face sample sub-library, until a number of face samples in level-M face sample sub-library obtained by division according to an attribute of a certain type of historical business information is less than the preset sample number threshold.
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