# US 2025/0166418 A1 · Real-eye detection using light of different polarization rotations > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0166418 A1 - Document ID: US20250166418A1 - Status: Published application - Kind: A1 - Application number: 18/956,117 - Filed: 2024-11-22 - Published: 2025-05-22 - Earliest claimed: 2022-05-23 - Assignees: Fingerprint Cards Anacatum IP AB - Applicants: Fingerprint Cards Anacatum IP AB - Inventors: Gabriel HINE; Mikkel STEGMANN - Web page: https://patentgrep.com/patent/US20250166418A1 ## CPC - G06V 40/18: Eye characteristics, e.g. of the iris - G06V 40/45: {Detection of the body part being alive} - G06T 7/73: using feature-based methods - G06V 10/145: Illumination specially adapted for pattern recognition, e.g. using gratings - G06V 10/24: Aligning, centring, orientation detection or correction of the image - G06V 10/60: relating to illumination properties, e.g. using a reflectance or lighting model - G06V 40/161: {Detection; Localisation; Normalisation} - G06V 40/19: Sensors therefor - G06V 40/193: {Preprocessing; Feature extraction} - G06V 40/197: {Matching; Classification} - G06V 40/40: Spoof detection, e.g. liveness detection - G06T 2207/30201: Face - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ## Abstract A method of a biometric recognition system of performing real-eye detection, and a biometric recognition system performing the method. In an aspect, a method of a biometric recognition system of performing real-eye detection is provided. The method comprises capturing a plurality of images comprising a representation of an eye of the individual, which images are captured utilizing polarized light reflected at the eye and received at a polarization-sensitive camera capturing said images, wherein for each image being captured a different polarization rotation is selected, detecting, from the representation in each captured image, birefringent features of a cornea of the individual, and determining, by matching the detected birefringent cornea features of the captured images with the expected birefringent cornea features, whether the detected birefringent cornea features are correctly rendered in at least one of the captured images; and if so determining that the eye is a real eye. ## Claims ### Claim 1 A method of a biometric recognition system of performing real-eye detection for an individual, comprising: capturing a plurality of images comprising a representation of an eye of the individual, which images are captured utilizing polarized light reflected at the eye and received at a polarization-sensitive camera capturing said images with a selected polarization configuration, wherein for each image being captured a different polarization rotation is selected; detecting, from the representation in each captured image, birefringent features of a cornea of the individual; determining, by matching the detected birefringent cornea features of the captured images with expected birefringent cornea features taking into account the polarization configuration, whether the detected birefringent cornea features are correctly rendered in at least one of the captured images; and if so: determining that the eye is a real eye. ### Claim 2 (depends on 1) The method of claim 1, further comprising: aligning the detected birefringent cornea features of the captured images with birefringent cornea features of an expected eye representation. ### Claim 3 (depends on 1) The method of claim 1, wherein the polarization orientation of the light is selected to be orthogonal in relation to the polarization orientation at the camera. ### Claim 4 (depends on 1) The method of claim 1, further comprising: acquiring information indicating an estimated head-tilt of the individual by means of performing face analysis on a captured image, wherein the capturing of images are performed with a polarization rotation selected to be in a range adapted to match the estimated head-tilt; and/or the aligning of the detected birefringent cornea features with birefringent cornea features of an expected eye representation is performed by selecting images being captured with a polarization rotation being in a range of the estimated head-tilt as candidates for the aligning. ### Claim 5 (depends on 2) The method of claim 2, the aligning being performed by rotating each captured representation of the eye such that said each captured eye representation has a same orientation as a non-tilted expected eye representation or by rotating the non-tilted expected eye representation to have the same eye orientation as said each captured eye representation, the rotation performed corresponding to the selected polarization rotation. ### Claim 6 (depends on 1) The method of claim 1, wherein if after a set number of failed attempts have been made for determining that the birefringent features are correctly rendered in the at least one of the captured images, the individual is required to prove knowledge of secret credentials before further attempts are allowed. ### Claim 7 (depends on 1) The method of claim 1, further comprising: comparing the detected birefringent cornea features determined to be correctly rendered with previously enrolled birefringent cornea features; and if there is a match: authenticating an individual associated with the birefringent cornea features determined to be correctly rendered. ### Claim 8 (depends on 1) The method of claim 1, further comprising: detecting, from the image in which the birefringent cornea features are determined to be correctly rendered or from another captured image, iris, face or periocular features; and comparing the detected iris, face or periocular features with previously enrolled iris, face or periocular features; and if there is a match an individual associated with the detected iris, face or periocular features is authenticated. ### Claim 9 (canceled) ### Claim 10 (depends on 1) A computer program product comprising a non-transitory computer readable medium, the computer readable medium having a computer program embodied thereon, the computer program comprising computer-executable instructions for causing a biometric recognition system to perform the method of claim 1 when the computer-executable instructions are executed on a processing unit included in the biometric recognition system. ### Claim 11 A biometric recognition system configured to perform real-eye detection, the system comprising a polarization-sensitive camera configured to: capture a plurality of images comprising a representation of an eye of the individual, which images are captured utilizing polarized light reflected at the eye and received at a polarization-sensitive camera capturing said images with a selected polarization configuration, wherein for each image being captured a different polarization rotation is selected; the system further comprising a processing unit configured to: detect, from the representation in each captured image, birefringent features of a cornea of the individual; determine, by matching the detected birefringent cornea features of the captured images with the expected birefringent cornea features taking into account the polarization configuration, whether the detected birefringent cornea features are correctly rendered in at least one of the captured images; and if so: determine that the eye is a real eye. ### Claim 12 (depends on 11) The biometric recognition system of claim 11, the processing unit further being configured to: align the detected birefringent cornea features of the captured images with birefringent cornea features of an expected eye representation. ### Claim 13 (depends on 11) The biometric recognition system of claim 11, wherein the polarization orientation of the light is selected to be orthogonal in relation to the polarization orientation at the camera. ### Claim 14 (depends on 11) The biometric recognition system of claim 11, the processing unit further being configured to: acquire information indicating an estimated head-tilt of the individual by means of performing face analysis on a captured image, wherein the capturing of images are performed with a polarization rotation selected to be in a range adapted to match the estimated head-tilt; and/or the aligning of the detected birefringent cornea features with birefringent cornea features of an expected eye representation is performed by selecting images being captured with a polarization rotation being in a range of the estimated head-tilt as candidates for the aligning. ### Claim 15 (depends on 12) The biometric recognition system of claim 12, the processing unit being configured to perform the aligning by rotating the captured representation of the eye such that the captured eye representation has a same orientation as a non-tilted expected eye representation or by rotating the non-tilted expected eye representation to have the same eye orientation as the captured eye representation, the rotation performed corresponding to the selected polarization rotation. ### Claim 16 (depends on 11) The biometric recognition system of claim 11, the processing unit further being configured to, if after a set number of failed attempts have been made for determining that the detected birefringent cornea features are correctly rendered in the at least one of the captured images, the individual is required to prove knowledge of secret credentials before further attempts are allowed. ### Claim 17 (depends on 11) The biometric recognition system of claim 11, the processing unit further being configured to: compare the detected birefringent cornea features determined to be correctly rendered with previously enrolled birefringent cornea features; and if there is a match to: authenticate an individual associated with the birefringent cornea features determined to be correctly rendered. ### Claim 18 (depends on 11) The biometric recognition system of claim 11, the processing unit further being configured to: detect, from the image in which the birefringent cornea features are determined to be correctly rendered, iris, face or periocular features; and to compare the detected iris, face or periocular features with previously enrolled iris, face or periocular features; and if there is a match an individual associated with the detected iris, face or periocular features is authenticated.