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

• US 9,792,499 B2
• Filed: 04/03/2017
• Issued: 10/17/2017
• 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:
  US15/477,633
• Publication Number:
  US 20170206413A1
• Time in Patent Office: 197 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 of biometric acquisition, comprising:

acquiring, by at least one sensor, a plurality of images including an image of a face, and an image of a corresponding iris suitable for iris biometric identification and having a resolution of at least 100 to 200 pixels across the corresponding iris, the image of the face and the image of the corresponding iris acquired at the same time or within a specified period of time to ensure that the image of the face and the image of the corresponding iris are from a same live person, wherein acquiring the plurality of images includes using different settings of sensor gain, sensitivity, and illumination;

associating the image of the face with the image of the corresponding iris for biometric identification of the same live person; and

determining if motion vectors from comparing at least the image of the corresponding iris and the image of the face are consistent with that of an expected sequence of images acquired from the same live person.

2. The method of claim 1, comprising determining if the motion vectors are consistent with at least one of:

motion of the live person or changes in image zoom level across the expected sequence of images.

3. The method of claim 1, further comprising performing image correlation between portions of the image of the face and the image of the corresponding iris.

4. The method of claim 3, comprising verifying that the image of the face and the image of the corresponding iris are derived from a same scene or person, according to the image correlation.

5. The method of claim 1, further comprising determining if at least a portion of the iris is present in both the image of the corresponding iris and the image of the face.

6. The method of claim 1, wherein acquiring the image of the face comprises acquiring the image of the face suitable for human recognition.

7. The method of claim 1, further comprising having a human inspector inspect the image of the face responsive to computer recognition of the image of the corresponding iris, the inspection and recognition of the image of the face and the image of the corresponding iris performed against stored images corresponding to the same live person.

8. The method of claim 1, further comprising determining if the image of the corresponding iris includes a reflection that is consistent with one from a human eye.

9. The method of claim 1, further comprising determining a resolution or zoom difference between the image of the face and the image of the corresponding iris.

10. A system, comprising:

at least one sensor configured for acquiring a plurality of images including an image of a face, and an image of a corresponding iris suitable for iris biometric identification and having a resolution of at least 100 to 200 pixels across the corresponding iris, the image of the face and the image of the corresponding iris acquired at the same time or within a specified period of time to ensure that the image of the face and the image of the corresponding iris are from a same live person, wherein acquiring the plurality of images includes using different settings of sensor gain, sensitivity, and illumination; and

a processor, operably coupled to the at least one sensor, configured to associate the image of the face with the image of the corresponding iris for biometric identification of the same live person, and to determine if motion vectors from comparing at least the image of the corresponding iris and the image of the face are consistent with that of an expected sequence of images acquired from the same live person.

11. The system of claim 10, wherein the processor is configured to determine if the motion vectors are consistent with at least one of:

motion of the live person or changes in image zoom level across the expected sequence of images.

12. The system of claim 10, wherein the processor is configured to perform image correlation between portions of the image of the face and the image of the corresponding iris.

13. The system of claim 12, wherein the processor is configured to verify that the image of the face and the image of the corresponding iris are derived from a same scene or person, according to the image correlation.

14. The system of claim 10, wherein the processor is configured to determine if at least a portion of the iris is present in both the image of the corresponding iris and the image of the face.

15. The system of claim 10, wherein the first sensor is configured to acquire the image of the face, the acquired image of the face being suitable for human recognition.

16. The system of claim 10, wherein the image of the face is inspected responsive to computer recognition of the image of the corresponding iris, the inspection and recognition of the image of the face and the image of the corresponding iris performed against stored images corresponding to the same live person.

17. The system of claim 10, wherein the processor is configured to determine if the image of the corresponding iris includes a reflection that is consistent with a reflection from a human eye.

18. The system of claim 10, wherein the processor is configured to determine a resolution or zoom difference between the image of the face and the image of the corresponding iris.