Methods for performing biometric recognition of a human eye and corroboration of same

• US 10,102,427 B2
• Filed: 10/16/2017
• Issued: 10/16/2018
• Est. Priority Date: 11/11/2005
• Status: Active Grant

• Current Assignee: EyeLock LLC (VOXX International Corporation)
• Original Assignee: EyeLock LLC (VOXX International Corporation)
• Inventors: Hanna, Keith J., Hoyos, Hector T.
• Primary Examiner(s): Park, Edward
• Application Number:
  US15/785,062
• Publication Number:
  US 20180053052A1
• Time in Patent Office: 365 Days
• CPC Class Codes: G06F 18/22 Matching criteria, e.g. proximity measures
• CPC Class Codes: G06T 7/20 Analysis of motion motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51
• CPC Class Codes: G06V 10/141 Control of illumination
• CPC Class Codes: G06V 40/161 Detection; Localisation; Normalisation
• CPC Class Codes: G06V 40/165 using facial parts and geometric relationships
• CPC Class Codes: G06V 40/19 Sensors therefor
• CPC Class Codes: G06V 40/197 Matching; Classification
• CPC Class Codes: G06V 40/40 Spoof detection, e.g. liveness detection
• CPC Class Codes: G06V 40/45 Detection of the body part being alive
• CPC Class Codes: G06V 40/70 Multimodal biometrics, e.g. combining information from different biometric modalities
• CPC Class Codes: H04N 23/611 where the recognised objects include parts of the human body

Abstract

A method of biometric recognition is provided. Multiple images of the face or other non-iris image and iris of an individual are acquired. If the multiple images are determined to form an expected sequence of images, the face and iris images are associated together. A single camera preferably acquires both the iris and face images by changing at least one of the zoom, position, or dynamic range of the camera. The dynamic range can be adjusted by at least one of adjusting the gain settings of the camera, adjusting the exposure time, and/or adjusting the illuminator brightness. The expected sequence determination can be made by determining if the accumulated motion vectors of the multiple images is consistent with an expected set of motion vectors and/or ensuring that the iris remains in the field of view of all of the multiple images.

Claims

1. A method for biometric acquisition, comprising:

acquiring, by a sensor, an image of the iris comprising a reflection of a predefined geometrical shape;

determining a value of deformation or magnification of the geometrical shape in the reflection;

comparing the determined value to a value of deformation or magnification expected for a reflection occurring off a live eye; and

determining that the image of the iris is acquired from a live eye if the determined value is consistent with the expected value.

2. The method of claim 1, wherein determining the value of deformation or magnification comprises determining if the determined value is within a magnification range that is approximately 3 to 6 millimeters divided by a distance of the predefined geometrical shape from the iris.

3. The method of claim 1, comprising determining if a dimension of the reflection is at least ten times smaller than a corresponding dimension of the predefined geometrical shape, if the iris is at least 100 millimeters from the predefined geometrical shape.

4. The method of claim 1, comprising determining if a dimension of the reflection is at about 12.5 to 166.7 times smaller than a corresponding dimension of the predefined geometrical shape, if the iris is about 75 to 500 millimeters from the predefined geometrical shape.

5. The method of claim 1, comprising determining if magnification of a first portion of the predefined geometrical shape at a center of the reflection is smaller than a magnification of a second portion away from the center.

6. The method of claim 1, comprising providing a reference pattern comprising the predefined geometrical shape, and identifying a deformed version of the reference pattern in the reflection.

7. The method of claim 1, comprising providing the predefined geometrical shape at a first location and another geometrical shape at a second location relative to the iris, and detecting a difference in specularities due to the two locations.

8. The method of claim 1, comprising modifying the geometrical shape and monitoring a corresponding change in the reflection.

9. The method of claim 1, comprising modifying the geometrical shape unpredictably to a corresponding subject, and monitoring a corresponding change in the reflection for consistency with that of a live eye.

10. The method of claim 1, comprising modifying the geometrical shape in arrangement or displacement, and monitoring a corresponding change in the reflection off the iris relative to an expected change in a reflection off a corneal surface.

11. A system for biometric acquisition, comprising:

a sensor configured to acquire an image of the iris comprising a reflection of a predefined geometrical shape; and

a processor configured to;

determine a value of deformation or magnification of the geometrical shape in the reflection;

compare the determined value to a value of deformation or magnification expected for a reflection occurring off a live eye; and

determine that the image of the iris is acquired from a live eye if the determined value is consistent with the expected value.

12. The system of claim 11, wherein the processor is configured to determine if the determined value is within a magnification range that is approximately 3 to 6 millimeters divided by a distance of the predefined geometrical shape from the iris.

13. The system of claim 11, wherein the processor is configured to determine if a dimension of the reflection is at least ten times smaller than a corresponding dimension of the predefined geometrical shape, if the iris is at least 100 millimeters from the predefined geometrical shape.

14. The system of claim 11, wherein the processor is configured to determine if a dimension of the reflection is at about 12.5 to 166.7 times smaller than a corresponding dimension of the predefined geometrical shape, if the iris is about 75 to 500 millimeters from the predefined geometrical shape.

15. The system of claim 11, wherein the processor is configured to determine if magnification of a first portion of the predefined geometrical shape at a center of the reflection is smaller than a magnification of a second portion away from the center.

16. The system of claim 11, further comprising an illumination source configured to provide a reference pattern comprising the predefined geometrical shape, wherein the processor is configured to identify a deformed version of the reference pattern in the reflection.

17. The system of claim 11, further comprising an illumination source configured to provide the predefined geometrical shape at a first location and another geometrical shape at a second location relative to the iris, wherein the processor is configured to detect a difference in specularities due to the two locations.

18. The system of claim 11, further comprising an illumination source configured to provide and modify the geometrical shape, wherein the processor is configured to monitor a corresponding change in the reflection.

19. The system of claim 11, further comprising an illumination source configured to provide and modify the geometrical shape unpredictably to a corresponding subject, wherein the processor is configured to monitor a corresponding change in the reflection for consistency with that of a live eye.

20. The system of claim 11, further comprising an illumination source configured to provide the geometrical shape and modify the geometrical shape in arrangement or displacement, and the processor is configured to monitor a corresponding change in the reflection off the iris relative to a change in a reflection off a corneal surface.