Method for deploying a face sample library and method and apparatus for business processing based on face recognition

A method for business processing based on face recognition, comprising:

• obtaining business request information of a user, wherein the business request information comprises a confidential business password and a detected face image;
• under a condition that a number of face samples in a password face sample library corresponding to the confidential business password is greater than or equal to a preset sample number threshold, invoking one level-i face sample sub-library in the password face sample library, and querying, in the one level-i face sample sub-library, a face sample matching the detected face image;
• wherein the password face sample library comprises M levels of face sample sub-libraries, the M levels of face sample sub-libraries are obtained by division according to historical business information of users corresponding to the face samples, and a number of face samples in each face sample sub-library of each level is less than a number of face samples in the password face sample library, where M and i are positive integers, and 1≤i≤M,
• wherein attributes of the historical business information of the users corresponding to the face samples in the same level-i face sample sub-library are the same.

A business device, comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, wherein the computer program, when executed by the processor, causes the processor to perform operations, 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.