STANDOFF AND MOBILE FINGERPRINT COLLECTION

• US 20110150303A1
• Filed: 12/23/2009
• Published: 06/23/2011
• Est. Priority Date: 12/23/2009
• Status: Active Grant

• Current Assignee: Leidos Innovations Technology, Inc.
• Original Assignee: Lockheed Martin Corporation (Martin Marietta Corporation)
• Inventors: DINERSTEIN, Jonathan, EBORN, Eric D., DINERSTEIN, Sabra
• Granted Patent: US 8,325,993 B2
• Time in Patent Office: Days
• US Class Current: 382/124
• CPC Class Codes: G06V 40/1312 direct reading, e.g. contactless acquisition
• CPC Class Codes: G06V 40/1347 Preprocessing; Feature extraction

Abstract

A method, a biometric identifier collection device, and a set of instructions are disclosed. A memory 208 may store a digital image having a biometric identifier. A processor 204 may execute a lighting compensation to remove a lighting effect from the biometric identifier. The processor 204 may process the biometric identifier to create an identification profile.

Claims

1. A method, comprising:

determining that a digital image contains a biometric identifier;

executing lighting compensation to remove a lighting effect from the biometric identifier; and

processing the biometric identifier to create an identification profile.

2. The method of claim 1, wherein the biometric identifier is a fingerprint.

3. The method of claim 1, wherein the lighting compensation is a piece-wise linear transformation of a light intensity for a block of the digital image.

4. The method of claim 1, further comprising:

isolating the biometric identifier in the digital image.

5. The method of claim 1, further comprising:

dividing the digital image into a grid of blocks; and

estimating a ridge orientation for each block.

6. The method of claim 1, further comprising:

dividing the digital image into a grid of blocks; and

determining a bad block in the grid of blocks by applying a bad block heuristic.

7. The method of claim 6, wherein the bad block heuristic is at least one of a neighborhood orientation coherence test, a gradient coherence test, a gradient variance test, a ridge spacing test, and a ridge-valley contrast test.

8. The method of claim 1, further comprising:

applying a first iteration of a Gabor filter to the digital image.

9. The method of claim 8, further comprising:

automatically computing a Gabor parameter controlling wavelength for use by the Gabor filter.

10. The method of claim 8, further comprising:

applying multiple iterations of the Gabor filter to the digital image.

11. The method of claim 1, further comprising:

applying an intensity threshold to a pixel of a digital image to detect a ridge.

12. A biometric identifier collection device, comprising:

a memory that stores a digital image having a biometric identifier;

a processor that executes a lighting compensation to remove a lighting effect from the biometric identifier and processes the biometric identifier to create an identification profile.

13. The biometric identifier collection device of claim 12, further comprising:

a digital camera component that generates the digital image.

14. The biometric identifier collection device of claim 12, wherein the processor divides the digital image into a grid of blocks and determines a bad block in the grid of blocks by applying a bad block heuristic.

15. The biometric identifier collection device of claim 14, wherein the bad block heuristic is at least one of a neighborhood orientation coherence test, a gradient coherence test, a gradient variance test, a ridge spacing test, and a ridge-valley contrast test.

16. The biometric identifier collection device of claim 12, wherein the processor automatically computes a Gabor parameter controlling wavelength and applies multiple iterations of a Gabor filter to the digital image.

17. The biometric identifier collection device of claim 12, wherein the processor applies an intensity threshold to a pixel of the digital image to detect a ridge.

18. A set of instructions residing in a storage medium, the set of instructions executable by a processor to implement a method for processing digital images, the method comprising:

determining that a digital image contains a biometric identifier;

executing lighting compensation to remove a lighting effect from the biometric identifier; and

processing the biometric identifier to create an identification profile.

19. The set of instructions of claim 18, further comprising:

automatically computing a Gabor parameter controlling wavelength; and

applying multiple iterations of the Gabor filter to the digital image.

20. The set of instructions of claim 18, further comprising:

applying an intensity threshold to a pixel of a digital image to detect a ridge.