Efficient method and system for the acquisition of scene imagery and iris imagery using a single sensor

• US 10,116,888 B2
• Filed: 03/04/2016
• Issued: 10/30/2018
• Est. Priority Date: 02/17/2011
• Status: Active Grant

• Current Assignee: EyeLock LLC (VOXX International Corporation)
• Original Assignee: EyeLock LLC (VOXX International Corporation)
• Inventors: Hanna, Keith J.
• Primary Examiner(s): Rahman, Mohammad J
• Application Number:
  US15/061,482
• Publication Number:
  US 20160191827A1
• Time in Patent Office: 970 Days
• Field of Search: None
• CPC Class Codes: G06F 3/013 Eye tracking input arrangements G06F3/015 takes precedence
• CPC Class Codes: G06V 40/19 Sensors therefor
• CPC Class Codes: H04N 25/20 for transforming only infrared radiation into image signals
• CPC Class Codes: H04N 25/60 Noise processing, e.g. detecting, correcting, reducing or removing noise
• CPC Class Codes: H04N 25/76 Addressed sensors, e.g. MOS or CMOS sensors
• CPC Class Codes: H04N 5/33 Transforming infrared radiation cameras or camera modules for generating image signals from infrared radiation H04N23/20; circuitry of SSIS for transforming infrared radiation into image signals H04N25/20
• CPC Class Codes: H04N 7/18 Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Abstract

The present disclosure is directed towards methods and systems for capturing images of an iris and a scene using a single image sensor. An image sensor may capture a view of a scene and a view of an iris in at least one image. An image processing module may apply a level of noise reduction to a first portion of the at least one image to produce an image of the scene. The image processing module may apply a reduced level of noise reduction to a second portion of the at least one image to produce an image of the iris for use in biometric identification.

Claims

1. A method of processing images acquired using a single image sensor, comprising:

acquiring, by an image sensor, a first image of an object at a predetermined distance with respect to the image sensor, the first image including a time-invariant signal component corresponding to the object, and a random time-varying signal component introduced by one or more noise sources; and

processing the first image according to a selection from a first mode and a second mode, comprising;

if the first mode is selected, acquiring the first image using a first portion of the image sensor, and processing the first image acquired via the first portion by retaining signals from the time-invariant and time-varying signal components with spatial frequencies at and below a threshold spatial frequency predetermined for iris recognition, wherein the object comprises an iris; and

if the second mode is selected, acquiring the first image using a second portion of the image sensor, and processing the first image acquired via the second portion by reducing at least a portion of the signals from the time-invariant and time-varying signal components with spatial frequencies at or below the threshold spatial frequency.

2. The method of claim 1, wherein if the second mode is selected, processing the first image with a frequency-based signal reduction process, or applying an averaging or median function to the first image.

3. The method of claim 1, further comprising using a first type of filter over the first portion of the image sensor and a second type of filter over the second portion of the image sensor.

4. The method of claim 1, wherein the image sensor comprises a plurality of sensor nodes, the first portion of the image sensor comprises a first subset of the sensor nodes, and the second portion of the image sensor comprises a second subset of the sensor nodes.

5. The method of claim 1, wherein the predetermined threshold is the equivalent of 2 line pairs/mm for a modulation transfer function of 60% for the object of a predetermined size and at the predetermined distance with respect to the image sensor.

6. The method of claim 1, further comprising subtracting systematic noise from the first image.

7. The method of claim 1, further comprising reducing ambient noise in the first image.

8. The method of claim 1, further comprising reducing ambient noise from one the first image acquired in the presence of infra-red illumination, using ambient noise from another image acquired without infra-red illumination.

9. The method of claim 1, further comprising determining to deactivate an infra-red-cut (IR-cut) filter for the image sensor when acquiring the first image if the first mode is selected, and to activate the IR-cut filter when acquiring the first image if the second mode is selected.

10. The method of claim 1, wherein acquiring the first image comprises activating a plurality of sensor nodes of the image sensor, the first portion comprising a first subset of the sensor nodes configured primarily for capturing an image of the iris suitable for biometric identification, and the second portion comprising a second subset of the sensor nodes configured primarily for capturing a non-iris image.

11. An apparatus for processing images acquired using a single image sensor, the apparatus comprising:

an image sensor configured to;

acquire a first image of an object at a predetermined distance with respect to the image sensor, the first image including a time-invariant signal component corresponding to the object, and a random time-varying signal component introduced by one or more noise sources; and

an image processing engine configured to process the first image corresponding to a selection from a first mode and a second mode, the image processing module configured to;

if the first mode is selected, process the first image acquired via a first portion of the image sensor by retaining signals from the time-invariant and time-varying signal components with spatial frequencies at and below a threshold spatial frequency predetermined for iris recognition, wherein the object comprises an iris; and

if the second mode is selected, process the first image acquired via a second portion of the image sensor by reducing at least a portion of the signals from the time-invariant and time-varying signal components with spatial frequencies at or below the threshold spatial frequency.

12. The apparatus of claim 11, wherein the image processing module is configured to process the first image with a frequency-based signal reduction process, or apply an averaging or median function to the first image, if the second mode is selected.

13. The apparatus of claim 11, further comprising a first type of filter over the first portion of the image sensor and a second type of filter over the second portion of the image sensor.

14. The apparatus of claim 11, wherein the image processing module comprises a plurality of sensor nodes, the first portion of the image sensor comprises a first subset of the sensor nodes, and the second portion of the image sensor comprises a second subset of the sensor nodes.

15. The apparatus of claim 11, wherein the predetermined threshold is the equivalent of 2 line pairs/mm for a modulation transfer function of 60% for the object of the predetermined size and at the predetermined distance with respect to the image sensor.

16. The apparatus of claim 11, wherein the image processing module is further configured to subtract systemic noise from the first image.

17. The apparatus of claim 11, wherein the image sensor comprises a Complementary Metal Oxide Semiconductor (CMOS) sensor.

18. The apparatus of claim 11, wherein the image processing module is configured to reduce ambient noise from the first image acquired in the presence of infra-red illumination, using ambient noise from another image acquired without infra-red illumination.

19. The apparatus of claim 11, further comprising an infra-red-cut (IR-cut) filter that is deactivated for the image sensor when acquiring the first image if the first mode is selected, and activated when acquiring the first image if the second mode is selected.

20. The apparatus of claim 11, wherein the image sensor comprises a plurality of sensor nodes, a first subset of the sensor nodes configured primarily for capturing an image of the iris suitable for biometric identification, a second subset of the sensor nodes configured primarily for capturing a non-iris image.