公开(公告)号：US20190392189A1

公开(公告)日：2019-12-26

申请号：US16014843

申请日：2018-06-21

Applicant: AMAZON TECHNOLOGIES, INC

Inventor： Dilip Kumar ,  Manoj Aggarwal ,  George Leifman ,  Gerard Guy Medioni ,  Nikolai Orlov ,  Natan Peterfreund ,  Korwin Jon Smith ,  Dmitri Veikherman ,  Sora Kim

IPC: G06K9/00 ,  G06N3/04

Abstract: 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 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.

公开(公告)号：US11900711B1

公开(公告)日：2024-02-13

申请号：US17075926

申请日：2020-10-21

Applicant: AMAZON TECHNOLOGIES, INC.

Inventor： Dilip Kumar ,  Manoj Aggarwal ,  George Leifman ,  Gerard Guy Medioni ,  Nikolai Orlov ,  Natan Peterfreund ,  Korwin Jon Smith ,  Dmitri Veikherman ,  Sora Kim

IPC: G06V40/13 ,  G06V40/12 ,  G06N3/045

CPC classification number: G06V40/1318 ,  G06N3/045 ,  G06V40/1347 ,  G06T2207/20084 ,  G06V40/1341

Abstract: 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.