Biometric authentication through vascular studies
Introduced here are approaches to authenticating unknown persons based on variations in the spatial properties and directionality of blood flow through vessels over time. At a high level, these approaches rely on monitoring vascular dynamics to recognize unknown persons. For example, an authentication platform may examine digital images of an anatomical region to establish how a property of the vasculature within the anatomical region changed as a result of deformation. Examples of properties include the position, size, volume, and pressure of vessels included in the vasculature, as well as the velocity and acceleration of blood flowing through the vasculature.
1. A method comprising:
receiving input indicative of a request to authenticate a person in possession of an electronic device that includes a camera;
obtaining a digital profile that is associated with a given individual whom the person claims to be;
causing presentation of an instruction to the person to perform a gesture that causes deformation of an anatomical region while the camera of the electronic device is oriented toward the anatomical region;
estimating, based on an analysis of digital images generated by the camera, (i) a first flow pattern of blood while the anatomical region of the person is in a natural state and (ii) a second flow pattern of blood while the anatomical region of the person is in a deformed state;
predicting, based on the digital profile and the first flow pattern, a third flow pattern of blood through the anatomical region of the given individual that would be expected if the given individual were to perform the gesture; and
determining whether to authenticate the person as the given individual based on a comparison of the second flow pattern to the third flow pattern.
2. The method of claim 1 , wherein the digital profile includes (i) a first vascular pattern that provides spatial information regarding vessels in the anatomical region while the anatomical region is in the natural state and (ii) a second vascular pattern that provides spatial information regarding the vessels in the anatomical region while the anatomical region is in the deformed state.
3. The method of claim 2 , wherein said predicting comprises:
applying an algorithm to the first vascular pattern, the second vascular pattern, and the first flow pattern that generates, as output, the third flow pattern by simulating blood flow through the vessels during deformation of the anatomical region that would be caused by the gesture.
4. The method of claim 1 , wherein said estimating comprises:
examining the digital images so as to identify variations in color that are indicative of blood flow through vessels in the anatomical region.
5. The method of claim 1 ,
wherein the first flow pattern is represented as a first vector, where each element includes a value that is indicative of estimated blood flow through a corresponding segment of the anatomical region of the person while in the natural state, and
wherein the second flow pattern is represented as a second vector, where each element includes a value that is indicative of estimated blood flow through the corresponding segment of the anatomical region of the person while in the deformed state, and
wherein the third flow pattern is represented as a third vector, where each element includes a value that is indicative of estimated blood flow through the corresponding segment of the anatomical region of the given individual while in the deformed state.
6. The method of claim 5 , wherein said determining comprises:
applying an algorithm to the second and third vectors to produce a score that is indicative of similarity between the second and third flow patterns, and
establishing a likelihood that the person is the given individual based on the score.
7. The method of claim 1 , wherein said obtaining comprises:
accessing a biometric database in which digital profiles associated with different individuals are stored, and
selecting, based on the input, the digital profile from amongst the digital profiles.
8. The method of claim 7 , wherein the input identifies the given individual whom the person claims to be.
9. The method of claim 1 , wherein the anatomical region is a finger.
10. The method of claim 1 , wherein the anatomical region is a palmar side or a dorsal side of a hand.
11. The method of claim 1 , wherein the anatomical region is a face.
12. The method of claim 1 , wherein the digital images are generated in conjunction with visible light, infrared light, or ultraviolet light emitted by the electronic device.
13. The method of claim 1 , further comprising:
outputting a decision whether to authenticate the person as the given individual via a user interface (UI) output mechanism.
14. The method of claim 13 , wherein the UI output mechanism is a display of the electronic device.
15. The method of claim 13 , wherein the UI output mechanism is a speaker of the electronic device.