Identification in view of biometric parameters

• US 9,082,048 B2
• Filed: 02/09/2012
• Issued: 07/14/2015
• Est. Priority Date: 03/17/2008
• Status: Active Grant

• Current Assignee: HALO Wearables LLC
• Original Assignee: Convergence Biometrics LLC
• Inventors: Miller, David R.
• Primary Examiner(s): DULANEY, KATHLEEN YUAN
• Application Number:
  US13/370,056
• Publication Number:
  US 20120313753A1
• Time in Patent Office: 1,251 Days
• Field of Search: 382/116, 382/224, 340/5.53, 340/5.83, 902/3
• US Class Current: 1/1
• CPC Class Codes: G06F 18/256 of results relating to different input data, e.g. multimodal recognition
• CPC Class Codes: G06V 10/811 the classifiers operating on different input data, e.g. multi-modal recognition
• CPC Class Codes: G06V 40/50 Maintenance of biometric data or enrolment thereof
• CPC Class Codes: G06V 40/70 Multimodal biometrics, e.g. combining information from different biometric modalities

Abstract

Systems and methods for authenticating a user are disclosed. In some embodiments, information regarding multiple biometric parameters is gathered from a test subject and compared with a validation template. The validation template can be augmented with some or all of the information if the user is successfully authenticated.

Claims

1. A method of authentication, the method comprising:

receiving, by a processor, a plurality of first measurements, the plurality of first measurements corresponding to a first biometric parameter associated with a user, wherein at least some of the plurality of first measurements are obtained at different times;

receiving, by the processor, a plurality of second measurements, the plurality of second measurements corresponding to a second biometric parameter associated with the user, wherein at least some of the plurality of second measurements are obtained at different times;

analyzing, by the processor, the plurality of first measurements to obtain a first correlation value, wherein the first correlation value is a first degree of conformity of the plurality of first measurements;

analyzing, by the processor, the plurality of second measurements to obtain a second correlation value, wherein the second correlation value is a second degree of conformity of each of the plurality of second measurements;

combining, by the processor, the plurality of first and second measurements into a first composite dataset in which the plurality of first measurements are weighted according to the first correlation value and the plurality of second measurements are weighted according to the second correlation value;

obtaining, by the processor, a first test measurement corresponding to the first biometric parameter;

obtaining, by the processor, a second test measurement corresponding to the second biometric parameter;

determining, by the processor, a confidence level of user authentication in view of a comparison of the plurality of first and second test measurements with the first composite dataset;

analyzing, by a processor, the first test measurement in combination with the plurality of first measurements to obtain a third correlation value; and

supplementing the plurality of first measurements with the first test measurement when the confidence level is above a threshold value and the third correlation value is within a predetermined range.

2. The method of claim 1, further comprising granting, by the processor, access to a first restricted destination when the confidence level is above a first threshold value.

3. The method of claim 2, further comprising denying, by the processor, access to a second restricted destination when the confidence level is above the first threshold value and below a second threshold value.

4. The method of claim 2, wherein the first restricted destination is an object, item, location, place, or facility.

5. The method of claim 2, wherein the first restricted destination is a restricted portion of a building, a secured vehicle, a secured piece of equipment, a secured electronic device, secured information, a secured Internet site, a secured intranet site, a secured computer program, locked hardware, or a hardware functionality.

6. The method of claim 1, further comprising withholding the first test measurement from supplementing the plurality of second measurements when the confidence level is above the threshold value and the third correlation value is outside the predetermined range.

7. The method of claim 1, wherein the analyzing of the plurality of first measurements comprises weighting the plurality of first measurements according to a chronological order in which each of the plurality of first measurements were obtained, wherein a newer measurement is weighted more heavily than an older measurement.

8. The method of claim 7, wherein the analyzing of the plurality of second measurements comprises weighting the plurality of second measurements according to a chronological order in which each of the plurality of second measurements were obtained, wherein a newer measurement in time is weighted more heavily than an older measurement in time.

9. The method of claim 1, wherein the comparing of the first and second test measurements with the first composite dataset comprises:

combining a weighted version of the first and second test measurements into a second composite dataset, wherein weighting of the first test measurement is in view of the first correlation value and weighting of the second test measurement is in view of the second composite dataset; and

comparing the second composite dataset with the first composite dataset.

10. The method of claim 1, wherein the obtaining the plurality of first measurements comprises associating an identifier of the user with the first biometric parameter and the obtaining the plurality of second measurements comprises associating an identifier of the user with the second biometric parameter.

11. A method of authentication, the method comprising:

receiving, by a processor, a plurality of first measurements, the plurality of first measurements corresponding to a first biometric parameter associated with a user, wherein at least some of the first measurements are obtained at different times;

receiving, by the processor, a plurality of second measurements, the plurality of second measurements corresponding to a second biometric parameter associated with the user, wherein at least some of the second measurements are obtained at different times;

analyzing, by the processor, the plurality of first measurements to obtain a first correlation value;

analyzing, by the processor, the plurality of second measurements to obtain a second correlation value;

combining, by the processor, the first and second measurements into a first composite dataset in which the first measurements are weighted according to the first correlation value and the second measurements are weighted according to the second correlation value;

obtaining, by the processor, a first test measurement corresponding to the first biometric parameter;

obtaining, by the processor, a second test measurement corresponding to the second biometric parameter;

determining, by the processor, a confidence level of user authentication in view of a comparison of the first and second test measurements with the first composite dataset; and

supplementing the plurality of first measurements with the first test measurement when the confidence level is above a first threshold value; and

withholding the second test measurement from supplementing the plurality of second measurements when the confidence level is above the first threshold value and below a second threshold value.

12. An apparatus for authenticating a user, the apparatus comprising:

a first sensor to obtain a plurality of first measurements from a user corresponding to a first biometric parameter, wherein at least some of the first measurements are obtained at different times;

a second sensor to obtain a plurality of second measurements from the user corresponding to a second biometric parameter, wherein at least some of the second measurements are obtained at different times;

one or more processors to;

analyze the plurality of first measurements to obtain a first correlation value, wherein the first correlation value is a degree of conformity the each of the plurality of first measurements relative to each other;

analyze the plurality of second measurements to obtain a second correlation value, wherein the second correlation value is a degree of conformity the each of the plurality of second measurements relative to each other;

combine the first and second measurements into a first composite dataset in which the first measurements are weighted according to the first correlation value and the second measurements are weighted according to the second correlation value;

obtain a first test measurement corresponding to the first biometric parameter;

obtain a second test measurement corresponding to the second biometric parameter;

determine a confidence level of user authentication in view of a comparison of the first and second test measurements with the first composite dataset;

analyze the first test measurement in combination with the plurality of first measurements to obtain a third correlation value; and

supplement the plurality of first measurements with the first test measurement when the confidence level is above a threshold value and the third correlation value is within a predetermined range.

13. The apparatus of claim 12, the one or more processors further to withhold the first test measurement from supplementing the plurality of second measurements if the confidence level is above the threshold value and the third correlation value is outside the predetermined range.

14. The apparatus of claim 12, the one or more processors further to analyze of the plurality of first measurements comprises weighting the plurality of first measurements according to a chronological order in which each of the plurality of first measurements were obtained, wherein a newer measurement in time is weighted more heavily than an older measurement in time.

15. The apparatus of claim 12, wherein the first correlation value is a first degree of conformity of the plurality of first measurements relative to each other and the second correlation value is a second degree of conformity of the plurality of second measurements relative to each other.

16. The apparatus of claim 12, wherein the first correlation value is a first degree of relative conformity of the plurality of first measurements and the second correlation value is a second degree of relative conformity of the plurality of second measurements.

17. The apparatus of claim 12, wherein the first sensor and second sensor are included in a single device.

18. The apparatus of claim 12, wherein the plurality of first measurements or the plurality of second measurements are fingerprint measurements, voice pattern measurements, signature recognition measurements, facial feature measurements, vein thermal measurements, retinal measurements, or iris measurements.

19. The apparatus of claim 12, wherein the obtaining the plurality of first measurements comprises associating an identifier of the user with the first biometric parameter and the obtaining the plurality of second measurements comprises associating an identifier of the user with the second biometric parameter.