IP Library › Granted Patent US 10,740,335

Granted Patent B1

US 10,740,335 · App. 15/407,447 · Granted Aug 11, 2020

Biometric data combination engine

Inventor: Florian Juveneton (Lyons, FR)

Assignee: Accenture Global Solutions Limited

G06F16/2455 G06F7/02 G06F16/2379 G06K9/00926 G06K2009/00953

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Quick Facts

Patent No.: US 10,740,335
App. No.: 15/407,447
Granted: Aug 11, 2020
Kind: B1

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USPTO Patent Center↗ Full Patent PDF↗

Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for combining biometric data are disclosed. In one aspect, a method includes the actions of accessing one or more synthetic biometric data samples. The actions further include identifying data that indicates characteristics of each of the one or more biometric data samples and data that indicates a quality score of each of the one or more biometric data samples. The actions further include identifying target parameters of a synthetic biometric database. The actions further include comparing the target parameters of the synthetic biometric database to the characteristics of each of the one or more biometric data samples and to the quality score of each of the one or more biometric data samples. The actions further include selecting, for the synthetic biometric database, a subset of the synthetic biometric data samples.

Claims (60)

1. A computer-implemented method comprising:

accessing one or more synthetic biometric data samples that were generated by a synthetic biometric data sample generator without a correspondence with a real individual;

identifying characteristics of each of the one or more synthetic biometric data samples and a quality score of each of the one or more synthetic biometric data samples, wherein the quality score of each of the one or more synthetic biometric data samples comprises a score that indicates a level that a respective synthetic biometric data sample reflects a respective physiological characteristic;

identifying target parameters of a synthetic biometric database, wherein the target parameters of the synthetic biometric database indicate a distribution of each characteristic and each quality score range of a subset of the synthetic biometric data samples;

performing a comparison of the target parameters of the synthetic biometric database to the characteristics of each of the one or more synthetic biometric data samples and to the quality score of each of the one or more synthetic biometric data samples;

based on the comparison, selecting the subset of the synthetic biometric data samples; and

storing the subset of the synthetic biometric data samples in the synthetic biometric database.

2. The method of claim 1 , comprising:

identifying updated target parameters of the synthetic biometric database;

comparing the updated target parameters of the synthetic biometric database to the characteristics of each of the one or more synthetic biometric data samples and to the quality score of each of the one or more synthetic biometric data samples; and

based on comparing the updated target parameters of the synthetic biometric database to the characteristics of each of the one or more synthetic biometric data samples and to the quality score of each of the one or more synthetic biometric data samples, selecting, for the synthetic biometric database, an updated subset of the synthetic biometric data samples.

3. The method of claim 1 , wherein the characteristics of each of the one or more synthetic biometric data samples comprise:

a category of each of the one or more synthetic biometric data samples; and

a subtype of each category.

4. The method of claim 1 , wherein the synthetic biometric data samples are fingerprint data, palm vein data, facial recognition data, DNA, palm print data, hand geometry data, iris recognition data, or retinal data.

5. The method of claim 1 , wherein identifying target parameters of synthetic biometric database comprises:

analyzing a biometric database that comprises actual biometric data samples;

based on analyzing the biometric database that comprises actual biometric data samples, determining characteristics of each of the actual biometric data samples and a quality score of each the actual biometric data samples; and

based on determining the characteristics of each of the actual biometric data samples and a quality score of each the actual biometric data samples, determining target parameters of the synthetic biometric database.

6. The method of claim 1 , comprising:

performing a test using the subset of the synthetic biometric data samples, wherein performing the test on real biometric data samples is prohibited.

7. A system comprising:

one or more computers and one or more non-transitory storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:

accessing one or more synthetic biometric data samples that were generated by a synthetic biometric data sample generator without a correspondence with a real individual;

based on the comparison, selecting the subset of the synthetic biometric data samples; and

storing the subset of the synthetic biometric data samples in the synthetic biometric database.

8. The system of claim 7 , wherein the operations further comprise:

identifying updated target parameters of the synthetic biometric database;

9. The system of claim 7 , wherein the characteristics of each of the one or more synthetic biometric data samples comprise:

a category of each of the one or more synthetic biometric data samples; and

a subtype of each category.

10. The system of claim 7 , wherein the synthetic biometric data samples are fingerprint data, palm vein data, facial recognition data, DNA, palm print data, hand geometry data, iris recognition data, or retinal data.

11. The system of claim 7 , wherein identifying target parameters of synthetic biometric database comprises:

analyzing a biometric database that comprises actual biometric data samples;

12. The system of claim 7 , wherein the operations further comprise:

performing a test using the subset of the synthetic biometric data samples, wherein performing the test on real biometric data samples is prohibited.

13. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising:

accessing one or more synthetic biometric data samples that were generated by a synthetic biometric data sample generator without a correspondence with a real individual;

based on the comparison, selecting the subset of the synthetic biometric data samples; and

storing the subset of the synthetic biometric data samples in the synthetic biometric database.

14. The non-transitory computer-readable medium of claim 13 , wherein the operations further comprise:

identifying updated target parameters of the synthetic biometric database;

15. The non-transitory computer-readable medium of claim 13 , wherein identifying target parameters of synthetic biometric database comprises:

analyzing a biometric database that comprises actual biometric data samples;

16. The non-transitory computer-readable medium of claim 13 , wherein the operations further comprise:

performing a test using the subset of the synthetic biometric data samples, wherein performing the test on real biometric data samples is prohibited.

Assignments (1)

ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 26, 2018

From: JUVENETON, FLORIAN

To: ACCENTURE GLOBAL SOLUTIONS LIMITED

Reel/Frame 046198/0332 →

Continuity (1)

Provisional Application 62279088 · Jan 15, 2016

Cited By (1)

US 12,405,844