Method for imaging fingerprints and concealing latent fingerprints

• US 6,535,622 B1
• Filed: 04/26/1999
• Issued: 03/18/2003
• Est. Priority Date: 04/26/1999
• Status: Expired due to Fees

• Current Assignee: Veridicom, Inc. (Veridicom International, Inc.)
• Original Assignee: Veridicom, Inc. (Veridicom International, Inc.)
• Inventors: OʼGorman, Lawrence, Russo, Anthony P.
• Primary Examiner(s): Mancuso, Joseph
• Assistant Examiner(s): Bali, Vikkram
• Application Number:
  US09/300,087
• Time in Patent Office: 1,422 Days
• Field of Search: 382/115-119, 382/124-127, 713/102, 713/186, 902/3-6, 235/380, 235/382, 235/382.5, 340/5.2, 340/5.21, 340/5.52, 340/5.53, 340/5.8, 340/5.81, 340/5.82, 340/5.83
• US Class Current: 382/124
• CPC Class Codes: G06V 40/13 Sensors therefor
• CPC Class Codes: G06V 40/1347 Preprocessing; Feature extraction
• CPC Class Codes: G06V 40/1388 using image processing
• CPC Class Codes: G06V 40/45 Detection of the body part being alive

Abstract

A method of operating a personal verification system includes acquiring with a sensor a first image of a first biometric feature, removing background noise associated with the sensor from the image, and storing at least a portion of the first image. The method also includes acquiring with the sensor a second image of a second biometric feature and comparing at least a portion of the second image with the first image. If the second image is substantially different from the first image, the second image is displayed.

Claims

1. A method of operating a personal verification system comprising:

determining whether a first biometric feature is present on a sensor;

acquiring, with the sensor, a first image of said first biometric feature when the first biometric feature is present;

storing at least a portion of the first image when the first biometric feature is removed from the sensor;

acquiring, with the sensor, a second image of a second biometric feature;

comparing at least a portion of the second image to the first image; and

displaying the second image if the second image is substantially different from the first image.

2. The method of claim 1, wherein a centrally located portion of the first image is stored and compared to a centrally located portion of the second image.

3. The method of claim 1, wherein the first image is stored in a volatile memory.

4. The method of claim 1, wherein the first image is stored in a non-volatile memory.

5. The method of claim 1, wherein the first image is stored in a file.

6. The method of claim 1, wherein the first and second biometric features are fingerprints.

7. The method of claim 1, wherein the sensor is a capacitive sensor.

8. The method of claim 1, wherein the sensor is an optical sensor.

9. The method of claim 1, wherein the first and second images are noise-reduced images.

10. The method of claim 9, further comprising:

estimating a background noise from the sensor; and

removing the background noise from the first and second images to obtain respective noise-reduced first and second images.

11. The method of claim 10, wherein estimating the background noise includes acquiring an image without a biometric feature positioned on the sensor.

12. The method of claim 11, wherein removing the background noise includes:

determining an amount of background noise for each pixel of the image acquired without a biometric feature positioned on the sensor;

for each of the first and second images, calculating for each pixel of the image a difference between the respective acquired image and the respective amount of background noise; and

for each of the first and second images, dividing the difference for each pixel by the respective amount of background noise.

13. The method of claim 11, wherein removing the background noise includes:

averaging an amount of background noise over a portion of the image;

for each of the first and second images, calculating for each pixel of the image a difference between the respective acquired image and the average amount of background noise over the portion of the image; and

for each of the first and second images, dividing the difference for each pixel by the average amount of background noise over the portion of the image.

14. The method of claim 10, further comprising applying a gain to the noise-reduced first and second images to enhance the images.

15. The method of claim 1, wherein comparing at least a portion of the second image to the first image includes calculating a correlation coefficient.

16. The method of claim 15, wherein the second image is displayed if the correlation coefficient is less than approximately 0.7.

17. The method of claim 15, further comprising:

applying a substantially reduced gain to the second image if the correlation coefficient is greater than approximately 0.7; and

displaying the gain-altered second image.

18. The method of claim 17, wherein the substantially reduced gain is approximately zero.

19. A method of operating a personal verification system comprising:

estimating a background noise from a biometric sensor, by acquiring an image without a biometric feature positioned on the sensor, and averaging an amount of background noise over a portion of the image;

acquiring a first image of a first biometric feature positioned on the sensor;

removing the background noise from the first image to obtain a noise-reduced image by calculating for each pixel of the image a difference between the acquired first image and the average amount of background noise over the portion of the image, and dividing the difference for each pixel by the average amount of background noise over the portion of the image; and

applying a gain to the noise-reduced image to enhance the first image.

20. The method of claim 19, wherein the first biometric feature is a fingerprint.

21. The method of claim 19, wherein the sensor is a capacitive sensor.

22. The method of claim 19, wherein the sensor is an optical sensor.

23. The method of claim 19, wherein estimating the background noise includes:

acquiring an image without a biometric feature positioned on the sensor; and

determining an amount of background noise for each pixel of the image.

24. The method of claim 23, wherein removing the background noise includes:

calculating for each pixel of the image a difference between the acquired first image and the respective amount of background noise; and

dividing the difference for each pixel by the respective amount of background noise.

25. The method of claim 19, further comprising:

calculating an average signal for the noise-reduced image; and

selecting the gain based upon the average signal.

26. The method of claim 25, wherein the average signal for the noise-reduced image is a median value of a plurality of averages for a respective plurality of centrally located rows of the noise-reduced image.

27. The method of claim 19, further comprising:

storing at least a portion of the noise-reduced first image;

acquiring a second image of a second biometric feature positioned on the sensor;

comparing at least a portion of the second image to the first image; and

displaying the second image if the second image is substantially different from the first image.

28. The method of claim 27, wherein storing at least a portion of the noise-reduced first image occurs when the first biometric feature is removed from the sensor.

29. The method of claim 27, wherein comparing at least a portion of the second image to the first image includes calculating a correlation coefficient.

30. The method of claim 29, wherein the second image is displayed if the correlation coefficient is less than approximately 0.7.

31. The method of claim 29, further comprising:

applying a substantially reduced gain to the second image if the correlation coefficient is greater than approximately 0.7; and

displaying the gain-altered second image.

32. The method of claim 31, wherein the substantially reduced gain is approximately zero.

33. A personal verification system comprising:

a biometric sensor;

a computer implemented means operable with the sensor for determining whether a first biometric feature is present on the sensor;

a computer implemented means operable with the sensor for acquiring a first image of said first biometric feature when the first biometric feature is present;

a computer implemented means for storing at least a portion of the first image when the first biometric feature is removed from the sensor;

a computer implemented means operable with the sensor for acquiring a second image of a second biometric feature;

a computer implemented means for comparing at least a portion of the second image to the first image; and

a computer implemented means for displaying the second image if the second image is substantially different from the first image.

34. The system of claim 33, wherein a centrally located portion of the first image is stored and compared to a centrally located portion of the second image.

35. The system of claim 33, wherein the first image is stored in a volatile memory.

36. The system of claim 33, wherein the first image is stored in a non-volatile memory.

37. The system of claim 33, wherein the first image is stored in a file.

38. The system of claim 33, wherein the first and second biometric features are fingerprints.

39. The system of claim 33, wherein the sensor is a capacitive sensor.

40. The system of claim 33, wherein the sensor is an optical sensor.