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

• US 8,798,330 B2
• Filed: 08/06/2012
• Issued: 08/05/2014
• Est. Priority Date: 11/11/2005
• Status: Active Grant

• Current Assignee: EyeLock LLC (VOXX International Corporation)
• Original Assignee: Eyelock Corporation (VOXX International Corporation)
• Inventors: Hanna, Keith J., Hoyos, Hector T.
• Primary Examiner(s): Park, Edward
• Application Number:
  US13/567,901
• Publication Number:
  US 20120300052A1
• Time in Patent Office: 729 Days
• Field of Search: 382/115, 382/124, 382/103, 382/100
• US Class Current: 382/115
• 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 a sensor, an image of a face;

acquiring, by the sensor, an image of a corresponding iris suitable for computer recognition within a specified period of time from acquiring the image of the face to ensure that the image of the face and the image of the corresponding iris are from a same live person;

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

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

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

3. 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.

4. 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.

5. The method of claim 1, further comprising adjusting a gain setting of the sensor.

6. The method of claim 1, further comprising adjusting illumination brightness for the corresponding iris and the face.

7. The method of claim 1, further comprising adjusting a contrast setting of the sensor.

8. The method of claim 1, further comprising adjusting a magnification or zoom setting of the sensor.

9. The method of claim 1, further comprising adjusting an image resolution sensitivity of the sensor.

10. The method of claim 1, further comprising adjusting an exposure time setting of the sensor.

11. The method of claim 1, further comprising:

adjusting a midpoint of the sensor'"'"'s dynamic range, and

acquiring the image of the corresponding iris in response to the adjustment.

12. The method of claim 1, further comprising:

setting a sensitivity of the sensor to a first setting prior to acquiring the image of the face; and

setting the sensitivity of the sensor to a second setting, more sensitive than the first setting, prior to acquiring the image of the corresponding iris.

13. A method of biometric acquisition, comprising:

acquiring, by a sensor, an image of a face;

adjusting a midpoint of the sensor'"'"'s dynamic range;

acquiring, by the sensor responsive to the adjustment, an image of a corresponding iris suitable for computer recognition within a specified period of time from acquiring the image of the face to ensure that the image of the face and the image of the corresponding iris are from a same live person; and

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

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

14. A system of biometric acquisition, comprising:

a sensor to acquire an image of a face and to acquire an image of a corresponding iris suitable for computer recognition within a specified period of time from acquiring the image of the face, to ensure that the image of the face and the image of the corresponding iris are from a same live person; and

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

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

16. The system of claim 14, wherein the sensor adjusts a gain setting of the sensor.

17. The system of claim 14, wherein the sensor adjusts illumination brightness for the corresponding iris and the face.

18. The system of claim 14, wherein the sensor adjusts a contrast setting of the sensor.

19. The system of claim 14, wherein the sensor adjusts a magnification or zoom setting of the sensor.

20. The system of claim 14, wherein the sensor adjusts an image resolution sensitivity of the sensor.

21. The system of claim 14, wherein the sensor adjusts an exposure time setting of the sensor.

22. The system of claim 14, wherein the sensor is configured to acquire the image of the corresponding iris responsive to adjusting a midpoint of the sensor unit'"'"'s dynamic range.

23. The system of claim 14, wherein the sensor has a sensitivity configured to be set to a first setting prior to acquisition of the image of the face and to a second setting, more sensitive that the first setting, prior to acquisition of the image of the corresponding iris.

24. A system of biometric acquisition, comprising:

a sensor to acquire an image of a face, and responsive to adjustment of a midpoint of a dynamic range of the sensor, to acquire an image of a corresponding iris suitable for computer recognition within a specified period of time from acquiring the image of the face, to ensure that the image of the face and the image of the corresponding iris are from a same live person; and

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

25. A method of biometric acquisition, comprising:

acquiring, by a sensor, an image of a face in a sequence of images;

acquiring, by the sensor, an image of a corresponding iris in the sequence of images, the image of the corresponding iris being suitable for computer recognition within a specified period of time from acquiring the image of the face to ensure that the image of the face and the image of the corresponding iris are from a same live person;

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

determining if motion vectors from comparing at least two images in the sequence of images are consistent with an expected sequence of images acquired from the same live person.

26. The method of claim 25, wherein acquiring the image of the face comprises acquiring the image of the face suitable for human recognition.

27. The method of claim 25, 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.

28. The method of claim 25, further comprising determining if at least a portion of the iris appears in both the image of the corresponding iris and the image of the face.

29. The method of claim 25, further comprising adjusting a gain setting of the sensor.

30. The method of claim 25, further comprising adjusting illumination brightness for the face and the corresponding iris.

31. The method of claim 25, further comprising adjusting a contrast setting of the sensor.

32. The method of claim 25, further comprising adjusting a magnification or zoom setting of the sensor.

33. The method of claim 25, further comprising adjusting an image resolution sensitivity of the sensor.

34. The method of claim 25, further comprising adjusting an exposure time setting of the sensor.

35. The method of claim 25, further comprising:

adjusting a midpoint of the sensor'"'"'s dynamic range, and

acquiring the image of the corresponding iris in response to the adjustment.

36. The method of claim 25, further comprising:

setting a sensitivity of the sensor to a first setting prior to acquiring the image of the face; and

setting the sensitivity of the sensor to a second setting, more sensitive than the first setting, prior to acquiring the image of the corresponding iris.