QUALITY METRICS FOR BIOMETRIC AUTHENTICATION
First Claim
1. A computer-implemented method comprising:
- obtaining a plurality of images of an eye, wherein the images each include a view of a portion of a vasculature of the eye external to a corneal limbus boundary of the eye;
determining a plurality of respective metrics for each of the images, wherein the respective metrics include a first metric for determine an extent of one or more connected structures in the image that represents a morphology of eye vasculature;
calculating a respective first score for each of the images wherein the first score represents a comparison of the respective metrics of the image with corresponding metrics for a reference image;
calculating a second score based on, at least, a combination of the first scores; and
granting a user access to a device or a service based on the second score.
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Accused Products
Abstract
This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining first image of an eye including a view of the white of the eye. The method may further include determining metrics for the first image, including a first metric for reflecting an extent of one or more connected structures in the first image that represents a morphology of eye vasculature and a second metric for comparing the extent of eye vasculature detected across different color components in the first image. A quality score may be determined based on the metrics for the first image. The first image may be rejected or accepted based on the quality score.
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Citations
30 Claims
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1. A computer-implemented method comprising:
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obtaining a plurality of images of an eye, wherein the images each include a view of a portion of a vasculature of the eye external to a corneal limbus boundary of the eye; determining a plurality of respective metrics for each of the images, wherein the respective metrics include a first metric for determine an extent of one or more connected structures in the image that represents a morphology of eye vasculature; calculating a respective first score for each of the images wherein the first score represents a comparison of the respective metrics of the image with corresponding metrics for a reference image; calculating a second score based on, at least, a combination of the first scores; and granting a user access to a device or a service based on the second score. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A system comprising:
data processing apparatus programmed to perform operations comprising; obtaining a plurality of images of an eye, wherein the images each include a view of a portion of a vasculature of the eye external to a corneal limbus boundary of the eye; determining a plurality of respective metrics for each of the images, wherein the respective metrics include a first metric for determine an extent of one or more connected structures in the image that represents a morphology of eye vasculature; calculating a respective first score for each of the images wherein the first score represents a comparison of the respective metrics of the image with corresponding metrics for a reference image; calculating a second score based on, at least, a combination of the first scores; and granting a user access to a device or a service based on the second score, - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26)
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27. A non-transitory computer-readable storage medium having instructions stored thereon that, when executed by data processing apparatus, cause the data processing apparatus to perform operations comprising:
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obtaining a plurality of images of an eye, wherein the images each include a view of a portion of a vasculature of the eye external to a corneal limbus boundary of the eye; determining a plurality of respective metrics for each of the images, wherein the respective metrics include a first metric for determine an extent of one or more connected structures in the image that represents a morphology of eye vasculature; calculating a respective first score for each of the images wherein the first score represents a comparison of the respective metrics of the image with corresponding metrics for a reference image; calculating a second score based on, at least, a combination of the first scores; and granting a user access to a device or a service based on the second score. - View Dependent Claims (28, 29, 30)
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Specification