Amazon Technologies, Inc.

Sora Kim

Gerard Guy Medioni

Dilip Kumar

Korwin Jon Smith

Manoj Aggarwal

George Leifman

Natan Peterfreund

Dmitri Veikherman

Jacob Francis Garstki

Kaustuva Acharya

Benjamin Blake Macy

Nikolai Orlov

This disclosure describes systems and techniques for enabling a communication device to communicate wirelessly with a near-field-communication (NFC)-enabled payment terminal while avoiding interference between the NFC-enabled payment terminal and other NFC payment instruments. In some instances, the communication device may receive, via a non-NFC communication protocol, a payment token from an identification device and may send, over NFC, the payment token to the NFC-enabled payment terminal for satisfying the cost of a transaction.

Mitigating near-field-communication (NFC) antenna interference

An identification system includes one or more infrared light sources and a camera that acquires images of a user's palm. For example, at a first time, one or more first images may be acquired by the camera using infrared light with a first polarization that represent external characteristics of the user's palm. At a second time, one or more second images may be acquired using infrared light with a second polarization that represent internal characteristics of the user's palm. These images are processed to determine a first set of feature vectors and a second set of feature vectors. A current signature may be determined using the first set of feature vectors and the second set of feature vectors. In addition, a user may be identified based on a comparison of the current signature and previously stored reference signatures that are associated with candidate user identifiers.

User identification system using infrared images of palm characteristics

A non-contact biometric identification system includes a hand scanner that generates images of a user's palm. Images are acquired using light of a first polarization at a first time that show surface characteristics such as wrinkles in the palm while images acquired using light of a second polarization at a second time show deeper characteristics such as veins. Within the images, the palm is identified and subdivided into sub-images. The sub-images are subsequently processed to determine feature vectors present in each sub-image. A current signature is determined using the feature vectors. A user may be identified based on a comparison of the current signature with a previously stored reference signature that is associated with a user identifier.

Non-contact biometric identification system

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Seattle, WA, United States of America

Sora Kim