Biometric identification

• US 20070237365A1
• Filed: 04/07/2006
• Published: 10/11/2007
• Est. Priority Date: 04/07/2006
• Status: Abandoned Application

• Current Assignee: Essex PA LLC (Intellectual Ventures LLC)
• Original Assignee: Essex PA LLC (Intellectual Ventures LLC)
• Inventors: Monro, Donald
• Application Number:
  US11/399,752
• Publication Number:
  US 20070237365A1
• Time in Patent Office: Days
• US Class Current: 382/115
• CPC Class Codes: A61B 5/117 Identification of persons methods or arrangements for recognising patterns, e.g. fingerprints, G06F18/00, G06V40/00; identification of persons by analysing their voice or speech G10L17/00
• CPC Class Codes: A61B 5/1171 based on the shapes or appearances of their bodies or parts thereof
• CPC Class Codes: A61B 5/4504 Bones A61B5/4547 takes precedence
• CPC Class Codes: A61B 5/726 using Wavelet transforms
• CPC Class Codes: G06F 18/00 Pattern recognition
• CPC Class Codes: G06V 2201/03 Recognition of patterns in medical or anatomical images
• CPC Class Codes: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands

Abstract

Embodiments related to biometric identification are disclosed.

Claims

1. A method, comprising:

detecting a biometric identifier; and

comparing the biometric identifier to known biometric identifiers;

wherein said detected biometric identifier comprises a skull suture.

2. The method according to claim 1, further comprising identifying a relatively most likely subject based at least in part upon a the comparison of the detected biometric identifier and a known biometric identifier.

3. The method according to claim 1, further comprising converting the detected biometric identifier to data capable of being stored and compared.

4. The method according to claim 3, further comprising storing the data.

5. The method according to claim 3, wherein the converting comprises selecting certain features of the skull sutures.

6. The method according to claim 3, wherein the converting comprises warping and aligning the data.

7. The method according to claim 3, wherein the converting comprises creating a graph based at least in part upon tracing a portion of a skull suture.

8. The method according to claim 7, wherein the comparing comprises comparing the graph to known graphs.

9. The method according to claim 7, wherein the comparing comprises comparing one or more features of the graph with known graphs.

10. The method according to claim 9, wherein the comparing of one or more features comprises comparing zero crossings of the graph.

11. The method according to claim 3, wherein the converting comprises transforming the data.

12. The method according to claim 11, wherein transforming the data produces characteristics that are utilized to compare the data.

13. The method according to claim 12, wherein said transforming comprises a frequency separating transform.

14. The method according to claim 11, wherein the transforming comprises a phase transform.

15. The method according to claim 11, wherein the transforming comprises a Fourier transform.

16. The method according to claim 11, wherein the transforming comprises a discrete transform.

17. The method according to claim 16, wherein the transforming comprises a discrete cosine transform.

18. The method according to claim 16, wherein the transforming comprises a discrete wavelet transform.

19. The method according to claim 3, wherein the converting comprises performing matching pursuits on the data.

20. The method according to claim 3, wherein the converting comprises utilizing a codebook to at least in part, define the data.

21. The method according to claim 3, wherein said comparing comprises utilizing a distance metric between the data and known data.

22. The method according to claim 2, wherein said relatively most likely subject comprises a mammal.

23. The method according to claim 2, wherein said relatively most likely subject comprises a human.

24. The method according to claim 2, wherein said relatively most likely subject comprises a domesticated animal.

25. The method according to claim 2, wherein said relatively most likely subject comprises a wild animal.

26. A computer program product capable of being stored on a computer readable medium comprising instructions that, if executed by a computing platform, result in biometric identification, by:

detecting a biometric identifier; and

comparing the biometric identifier to known biometric identifiers;

wherein said detected biometric identifier comprises a skull suture.

27. The product according to claim 26, further comprising identifying a relatively most likely subject based at least in part upon a the comparison of the detected biometric identifier and a known biometric identifier.

28. The product according to claim 26, further comprising converting the detected biometric identifier to data capable of being stored and compared.

29. The product according to claim 28, further comprising storing the data.

30. The product according to claim 29, wherein the converting comprises selecting certain characteristics of the skull sutures.

31. The product according to claim 30, wherein the converting comprises creating a graph based at least in part upon a tracing of a portion of a skull suture.

32. The product according to claim 31, wherein the comparing comprises comparing one or more features of the graph with known graphs.

33. The product according to claim 32, wherein the comparing of one or more features comprises comparing zero crossings of the graph.

34. The product according to claim 28, wherein the converting comprises transforming the data.

35. The product according to claim 34, wherein transforming the data produces characteristics that are utilized to compare the data.

36. The product according to claim 34, wherein said transforming comprises a frequency separating transform.

37. The product according to claim 34, wherein the transforming comprises a phase transform.

38. The product according to claim 34, wherein the transforming comprises a Fourier transform.

39. The method according to claim 34, wherein the transforming comprises a discrete transform.

40. The product according to claim 39, wherein the transforming comprises a discrete cosine transform.

41. The product according to claim 39, wherein the transforming comprises a discrete wavelet transform.

42. The product according to claim 28, wherein the converting comprises performing matching pursuits on the data.

43. The product according to claim 28, wherein the converting comprises utilizing a codebook to at least in part, define the data.

44. The product according to claim 28, wherein said comparing comprises utilizing a distance metric between the data and known data.

45. A system for enhancing data, comprising:

means for detecting a biometric identifier; and

means for comparing the biometric identifier to known biometric identifiers;

wherein said detected biometric identifier comprises a skull suture.

46. The system according to claim 45, further comprising means for identifying a relatively most likely subject based at least in part upon a the comparison of the detected biometric identifier and a known biometric identifier.

47. The system according to claim 45, further comprising means for converting the detected biometric identifier to data capable of being stored and compared.

48. The system according to claim 47, further comprising means for storing the data.

49. The system according to claim 47, further comprising means for transforming the biometric identifier or the data to yield characteristics that are capable of being utilized for comparing.