CPC G06F 21/32 (2013.01) [G06F 16/23 (2019.01)] | 16 Claims |
1. A method for updating a feature vector database, comprising:
acquiring a first biological feature in a service request;
obtaining, according to the first biological feature, a first feature vector and a second feature vector respectively through a first algorithm model and a second algorithm model, wherein a version of the first algorithm model is different from a version of the second algorithm model, and the first algorithm model is configured with a first feature vector database comprising a sample feature vector obtained based on the first algorithm model;
performing validity verification on the second feature vector according to an associated feature vector of a first user corresponding to a first sample feature vector, wherein the first sample feature vector is a sample feature vector successfully matched with the first feature vector in the first feature vector database, and the associated feature vector comprises at least a portion of: the first feature vector, the second feature vector, and at least a portion of history feature vectors corresponding to the first algorithm model; and
obtaining, under a condition that the validity verification on the second feature vector passes, a second sample feature vector of the first user based on the second feature vector, and storing the second sample feature vector in a second feature vector database, wherein the second algorithm model is configured with the second feature vector database.
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