SELF-ADAPTIVE MULTIMODAL BIOMETRIC AUTHENTICATION METHOD AND SYSTEM FOR PERFORMANCE THEREOF

• US 20090037978A1
• Filed: 12/20/2005
• Published: 02/05/2009
• Est. Priority Date: 12/22/2004
• Status: Abandoned Application

• Current Assignee: Merkatum Corp.
• Original Assignee: Merkatum Corp.
• Inventors: Luque, Jose, Siso, Carlos
• Application Number:
  US11/720,646
• Publication Number:
  US 20090037978A1
• Time in Patent Office: Days
• US Class Current: 726/2
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints
• 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
• CPC Class Codes: H04L 63/0861 using biometrical features, e.g. fingerprint, retina-scan cryptographic mechanisms or cryptographic arrangements for entity authentication using biological data H04L9/3231

Abstract

A method for authentication of an individual based upon biometric mode and biometric instance data comprising the steps of: storing at least a first biometric data having at least one biometric data mode and at least two biometric data instances capable of identifying an individual associated with the first biometric data; creating an at least second biometric data having the at least one biometric data mode and the at least two biometric data instances capable of identifying a specific individual associated with the second biometric data; determining which of said at least one biometric data mode and said at least two biometric data instances are to be compared; in accordance with predetermined rules; and comparing the at least second biometric data to said at least first biometric data to determine whether the selected biometric data mode and selected biometric data instances of the at least first biometric data corresponds to the selected at least one of biometric data mode and selected at least two biometric data instances of the at least second biometric data.

Claims

1. A method for authentication of an individual based upon biometric data mode and biometric data instance comprising the steps of:

storing at least a first biometric data, having at least one biometric data mode and at least two biometric data instances, capable of identifying an individual associated with the first biometric data;

creating an at least second biometric data, having at least one biometric data mode and at least two biometric data instances, capable of identifying a specific individual associated with the second biometric data;

determining which of said at least one biometric data mode and said at least two biometric data instances are to be compared in accordance with predetermined rules; and

comparing the at least second biometric data to said at least first biometric data to determine whether the selected biometric data mode and selected biometric data instances of the at least first biometric data corresponds to the selected at least one biometric data mode and selected at least two biometric data instances of the at least second biometric data.

2. The method of claim 1 further comprising the step of converting said at least first biometric data into a first template and converting said at least second biometric data into a second template, and comparing the first template to the second template to determine whether the at least first biometric data corresponds to the at least second biometric data.

3. The method of claim 1, wherein N biometric modes and M biometric instances are selected to be compared, and N is less than M.

4. The method of claim 2 wherein said biometric data mode is scored and said biometric data instance is scored, and said scores are normalized.

5. The method of claim 1, wherein said predetermined rules include scoring each biometric data mode and each biometric data instance by applying a weighted average to each of said at least one biometric data mode and at least two biometric data instances for said at least first biometric data and said at least second biometric data prior to comparing the at least second biometric data to said at least first biometric data.

6. The method of claim 1, wherein said biometric data mode includes at least one of algorithm, iris, fingerprint, face, handwriting, and voice.

7. The method of claim 1, wherein the predetermined rule includes determining the at least one biometric data mode and the at least two biometric data instances to be compared as a function of quality of each biometric data instance.

8. The method of claim 1, in which the predetermined rule includes determining the at least one biometric data mode and the at least two biometric data instances to be compared as a function of the availability of the at least one biometric data mode as an element of the at least first biometric data and the at least second biometric data.

9. The method of claim 1, wherein said at least second biometric data is created by an individual presenting biometric data to a biometric data scanning device.

10. The method of claim 9, wherein the physical location of the creation of said second data file is remote from the physical location of where the comparing of the at least second biometric data to said at least first biometric data takes place.

11. The method of claim 10, wherein said at least second biometric data is created utilizing a mobile biometric data capture device.

12. The method of claim 10, wherein said at least first biometric data is stored at a location remote from said location where said first biometric data is compared to said second biometric data.

13. The method of claim 1, wherein said comparing of the at least second biometric data to said first biometric data further comprises the step of fusion scoring said first biometric data and said second biometric data.

14. The method of claim 13, wherein said fusion scoring further comprises the step of applying weighted averages to said at least one biometric data mode and said at least two biometric data instances.

15. A system for authentication of an individual based upon a biometric data mode and biometric data instance comprising:

a server;

a database associated with the server, a first biometric data having at least one biometric data mode and at least two biometric data instances capable of identifying an individual associated with the first biometric data being stored in said database;

a service center, in communication with said server, said service center creating at least a second biometric data having at least one biometric data mode and at least two biometric data instances capable of identifying a specific individual associated with the second biometric data and transmitting said biometric data to said server, said server determining which of said at least one biometric data mode and said at least two biometric data instances are to be compared in accordance with predetermined rules, and comparing the at least second biometric data to said at least first biometric data to determine whether the selected biometric data mode and selected biometric data instances of the at least first biometric data correspond to the selected at least one biometric data mode and selected at least two biometric data instances of the at least second biometric data.

16. The system of claim 15, wherein said server converts said at least first biometric data into a first template, and compares the first template to a second template corresponding to said second biometric data to determine whether the at least first biometric data corresponds to the at least second biometric data.

17. The system of claim 16, wherein said service center creates said second template.

18. The system of claim 17, wherein said server creates said second template.

19. The system of claim 15, wherein said server selects N biometric data modes and M biometric data instances to be compared between said first biometric data and said second biometric data.

20. The system of claim 16, wherein said first template is scored and said second template is scored and said scores are normalized.

21. The system of claim 16, wherein a weighted average is applied to each of said at least one biometric data mode and at least two biometric data instances of said first template and said at least second template prior to comparing said at least second template to said at least first template.

22. The system of claim 21, wherein said server determines a quality profile for each of said at least first template and said at least second template and the at least one biometric data mode and the at least two biometric data instances to be compared as determined as a function of the quality of each instance of biometric data instances as determined from said templates.

23. The system of claim 15, wherein said server determines the availability of at least one biometric data mode as an element of the at least first data and the at least second data and determines which of said at least one biometric data mode is to be compared as a function of the availability of the biometric mode data.

24. The system of claim 15, wherein said service center is a mobile biometric data capture device.