Contactless rolled fingerprints

Patent metadata

Field	Value
Publication number	US-11080511-B2
Application number	US-201816488971-A
Country	US
Kind code	B2
Filing date	Mar 28, 2018
Priority date	Feb 28, 2017
Publication date	Aug 3, 2021
Grant date	Aug 3, 2021

Abstract

In an example, a method includes capturing one or more friction ridge images of a finger at an instance in time, the one or more friction ridge images including a plurality of perspectives of the finger. The method also includes determining, from the one or more friction ridge images, a rolled fingerprint representation of the finger, the rolled fingerprint representation comprising data from the plurality of perspectives, and outputting the rolled fingerprint representation.

First claim

What is claimed is:

1. A method comprising:
determining a distance between one or more cameras responsible for capturing one or more friction ridge images and a finger;
after determining said distance, capturing the one or more friction ridge images of the finger at an instance in time, the one or more friction ridge images including a plurality of perspectives of the finger;
determining, from the one or more friction ridge images, a rolled fingerprint representation of the finger, the rolled fingerprint representation comprising data from the plurality of perspectives;
outputting the rolled fingerprint representation, and
outputting an indication that the distance is equal to a predetermined distance for the capturing of the one or more friction ridge images.

2. The method of claim 1 , wherein the plurality of perspectives comprise a 180-degree view of a pad of the finger, and wherein the rolled fingerprint representation comprises an approximately 180-degree representation of the pad of the finger.

3. The method of claim 1 , wherein said capturing of the one or more friction ridge images comprises capturing a single friction ridge image from a single camera, the single friction ridge image comprising at least one reflection of at least a portion of the finger.

4. The method of claim 1 , wherein said capturing of the one or more friction ridge images comprises capturing a plurality of friction ridge images from a plurality of cameras corresponding to the plurality of perspectives.

5. The method of claim 1 , wherein said determining of the rolled fingerprint representation comprises determining a two-dimensional rolled fingerprint representation, and wherein determining the two-dimensional rolled fingerprint representation comprises stitching data from the plurality of perspectives.

6. The method of claim 1 , wherein said determining of the rolled fingerprint representation comprises determining a three-dimensional rolled fingerprint representation and converting the three-dimensional rolled fingerprint representation to the rolled fingerprint representation.

7. The method of claim 1 , wherein said determining of the rolled fingerprint representation comprises scaling the rolled fingerprint representation to one of 500 pixels per inch or 1000 pixels per inch.

8. The method of claim 1 , wherein said determining of the distance comprises receiving, by a computing device responsible for determining the rolled fingerprint representation, data that indicates the distance from a distance sensor and determining, by the computing device, the distance based on the data.

9. The method of claim 1 , wherein said outputting of the indication of the distance comprises generating an audible indication, a visual indication, or a tactile indication.

10. The method of claim 1 , wherein said capturing of the one or more friction ridge images comprises articulating a handheld computing device for capturing the one or more friction ridge images to a predetermined position relative to the finger.

11. The method of claim 1 , wherein the outputting of the rolled fingerprint representation comprises generating an image file that contains the rolled fingerprint representation and storing the image file to memory.

12. A non-transitory computer-readable medium having instructions stored thereon that, when executed, cause one or more processors to perform each step of claim 1 .

13. A device comprising:
a distance component configured to determine a distance between one or more cameras responsible for capturing one or more friction ridge images and a finger;
one or more cameras configured to capture, after the distance component determines said distance, the one or more friction ridge images of the finger at an instance in time, the one or more friction ridge images including a plurality of perspectives of the finger;
a memory configured to store the one or more friction ridge images, and
one or more processors configured to:
determine, from the one or more friction ridge images, a rolled fingerprint representation of the finger, the rolled fingerprint representation comprising data from the plurality of perspectives;
output the rolled fingerprint representation, and
output an indication that the distance is equal to a predetermined distance for the capturing of the one or more friction ridge images.

14. The device of claim 13 , wherein the plurality of perspectives comprises a 180-degree view of a pad of the finger, and wherein the rolled fingerprint representation comprises an approximately 180-degree representation of the pad of the finger.

15. The device of claim 13 , wherein the one or more cameras is one camera and wherein capturing the one or more friction ridge images comprises capturing a single friction ridge image, the single friction ridge image comprising at least one reflection of at least a portion of the finger.

16. The device of claim 13 , wherein the one or more cameras comprises a plurality of cameras, and wherein capturing the one or more friction ridge images comprises capturing a plurality of friction ridge images from the plurality of cameras, the plurality of cameras corresponding to the plurality of perspectives.

17. The device of claim 13 , wherein the one or more processors, in the determining of the rolled fingerprint representation, are configured to determine a two-dimensional rolled fingerprint representation by stitching data from the plurality of perspectives.

18. The device of claim 13 , wherein the one or more processors, in the determining of the rolled fingerprint representation, are configured to determine a three-dimensional rolled fingerprint representation and convert the three-dimensional rolled fingerprint representation to the rolled fingerprint representation.

19. The device of claim 13 , further comprising an output component configured to output audible indication, a visual indication, or a tactile indication of the distance.

20. The device of claim 13 , wherein the device comprises a handheld device.

21. The device of claim 13 , further comprising a light source configured to illuminate the finger.

22. The device of claim 13 , further comprising a trigger component that is configured to initiate the one or more cameras.

Assignees

• Shannon Robert W
• Casner Glenn E
• Dunn Douglas Scott
• Wang Anne Jinsong
• Ng Chin Yee
• Linzie Brian L
• Howell Brett A
• Thales Dis France Sa

Inventors

• Shannon Robert W
• Casner Glenn E
• Dunn Douglas Scott
• Wang Anne Jinsong
• Ng Chin-Yee
• Linzie Brian L
• Howell Brett A

Classifications

• G06V40/67

  by interactive indications to the user · CPC title

• G06V40/1335

  Combining adjacent partial images (e.g. slices) to create a composite input or reference pattern; Tracking a sweeping finger movement · CPC title

• G06V10/143

  Sensing or illuminating at different wavelengths · CPC title

• G06V10/141

  Control of illumination · CPC title

• G06V40/1376 Primary

  Matching features related to ridge properties or fingerprint texture · CPC title