Fusing multi-spectral images for identity authentication
AssigneeAdvanced New Technologies Co., Ltd.
InventorVikas Gottemukkula
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Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining the identity of a user. In one aspect, a method comprises: obtaining a multi-spectral image that depicts an eye of a user, wherein the multi-spectral image comprises a plurality of registered two-dimensional channels, and each two-dimensional channel corresponds to a different spectrum of the multi-spectral image; processing the multi-spectral image using an encoder neural network to generate a fused image, wherein the fused image has a single two-dimensional channel; determining a set of features characterizing the eye of the user from the fused image; and determining an identity of the user based at least in part on the set of features characterizing the eye of the user.
Claims17
A method performed by one or more data processing apparatus, the method comprising:
- obtaining a multi-spectral image that depicts an eye of a user, wherein the multi-spectral image comprises a plurality of registered two-dimensional channels, and each two-dimensional channel corresponds to a different spectrum of the multi-spectral image;
- processing the multi-spectral image using an encoder neural network to generate a fused image, wherein the fused image has a single two-dimensional channel;
- determining a set of features characterizing the eye of the user from the fused image;
- and
- determining an identity of the user based at least in part on the set of features characterizing the eye of the user, comprising:
- using the set of features characterizing the eye of the user to determine a respective match score between the user and each of one or more reference users, wherein the match score between the user and a reference user characterizes a likelihood that the identity of the user matches an identity of the reference user;
- and
- determining the identity of the user matches the identity of a particular reference user based on the match scores.
A system comprising:
- one or more computers;
- and
- one or more storage devices communicatively coupled to the one or more computers, wherein the one or more storage devices store instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising:
- obtaining a multi-spectral image that depicts an eye of a user, wherein the multi-spectral image comprises a plurality of registered two-dimensional channels, and each two-dimensional channel corresponds to a different spectrum of the multi-spectral image;
- processing the multi-spectral image using an encoder neural network to generate a fused image, wherein the fused image has a single two-dimensional channel;
- determining a set of features characterizing the eye of the user from the fused image;
- and
- determining an identity of the user based at least in part on the set of features characterizing the eye of the user, comprising:
- using the set of features characterizing the eye of the user to determine a respective match score between the user and each of one or more reference users, wherein the match score between the user and a reference user characterizes a likelihood that the identity of the user matches an identity of the reference user;
- and
- determining the identity of the user matches the identity of a particular reference user based on the match scores.
One or more non-transitory computer storage media storing instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:
- obtaining a multi-spectral image that depicts an eye of a user, wherein the multi-spectral image comprises a plurality of registered two-dimensional channels, and each two-dimensional channel corresponds to a different spectrum of the multi-spectral image;
- processing the multi-spectral image using an encoder neural network to generate a fused image, wherein the fused image has a single two-dimensional channel;
- determining a set of features characterizing the eye of the user from the fused image;
- and
- determining an identity of the user based at least in part on the set of features characterizing the eye of the user, comprising:
- using the set of features characterizing the eye of the user to determine a respective match score between the user and each of one or more reference users, wherein the match score between the user and a reference user characterizes a likelihood that the identity of the user matches an identity of the reference user;
- and
- determining the identity of the user matches the identity of a particular reference user based on the match scores.
Dependencies are inferred from the claim text.