Amazon Technologies, Inc.

Joshua Engelsma

Dilip Kumar

Gerard Guy Medioni

Manoj Aggarwal

Abhinav Kashyap

Rajeev Ranjan

Baomin Wang

A biometric identification system acquires a multimodal image. The system is trained to determine three embeddings: a first embedding associated with features present in a first modality, an intersection embedding associated with features present in both the first and a second modality, and an XOR embedding associated with features that are not shared between the first modality and the second modality. Once trained, the system may process a multimodal query image to determine query embedding data. Additional information, such as minutiae depicted in the multimodal query image may also be determined. The query embedding data, and in some implementations the additional information, may be compared with enrolled embedding data associated with a previously enrolled user. If the comparison exceeds a threshold value, an identity may be asserted.

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Jenison, MI, United States of America

Joshua Engelsma