Patent ID: 11861938
Assignee: SUPREMA INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for adding biometric authentication training data into a database performed by a biometric authentication data classification device, comprising:
extracting first biometric characteristic information from at least one candidate biometric training data for biometric authentication using an artificial neural network model;
calculating an overall similarity between the first biometric characteristic information and second biometric characteristic information extracted from a performance test database of which a biometric authentication performance is lower than a threshold level, the performance test database being selected among performance test databases for the biometric authentication; and, adding the at least one candidate biometric training data into one of the biometric authentication training database and the performance test database based on the calculated overall similarity,
wherein the calculating of the overall similarity includes:
calculating a characteristic similarity of the age characteristic, a characteristic similarity of a race characteristic, and a characteristic similarity of a gender characteristic; and
multiplying the calculated characteristic similarities of the age characteristic, the race characteristic, and the gender characteristic to determine a result of the multiplying as the overall similarity,
wherein the overall similarity is calculated by an equation as follows:

V=WaSa(A,B)×WeSe(A,B)×WsSs(A,B)

where Wa is an age characteristic weight, We is a race characteristic weight, Ws is a gender characteristic weight, Sa is an age characteristic similarity, Se is a race characteristic similarity, Ss is a gender characteristic similarity, A is first face characteristic information, and B is second face characteristic information.