System to determine biometric identification training data

Abstract

A biometric identification system acquires an image of at least a portion of a user that is processed by an embedding model. Additional training of the embedding model is performed using selected training data. In one implementation, the selected training data is determined based on similarity to embedding data acquired during operation. For example, a query image is processed to determine query embedding data. If the query embedding is deemed to be a close match to embedding data of a previously enrolled user, additional synthetic training data that is also similar to the query embedding data is selected for use in subsequent training. In another implementation, enrolled user data may be analyzed to find close matches to synthetic training data, from which selected training data is determined. Use of the additional synthetic training data facilitates the subsequent training in distinguishing between similar instances of embedding data.