SOFTWARE BASED METHOD FOR FINGER SPOOF DETECTION AND RELATED DEVICES

• US 20090316963A1
• Filed: 06/18/2009
• Published: 12/24/2009
• Est. Priority Date: 06/19/2008
• Status: Active Grant

• Current Assignee: Apple Inc.
• Original Assignee: AuthenTec Incorporated (Apple Inc.)
• Inventors: BOSHRA, Michael
• Granted Patent: US 8,275,178 B2
• Time in Patent Office: Days
• US Class Current: 382/124
• CPC Class Codes: G06V 40/1388 using image processing

Abstract

A finger sensor may include a finger sensing area and a controller cooperating with the finger sensing area for storing enrollment data including finger feature locations. The controller may be for generating authentication data including finger feature locations based upon positioning of an object adjacent the finger sensing area. The controller may also be for performing aligning the authentication data and the enrollment data, matching between the aligned enrollment and authentication data, and spoof attempt detecting based upon corresponding pairs of finger features and their spatial locations in the aligned enrollment and authentication data. The controller may further be for performing an authentication decision based upon the matching and spoof detecting.

Claims

1. A finger sensor device comprising:

a finger sensing area; and

a controller cooperating with said finger sensing area for storing enrollment data including finger feature locations and generating authentication data including finger features locations based upon positioning of an object adjacent said finger sensing area;

said controller also for performing

aligning the authentication data and the enrollment data,

matching between the aligned enrollment and authentication data,

spoof attempt detecting based upon corresponding pairs of finger features and their spatial locations in the aligned enrollment and authentication data, and

an authentication decision based upon the matching and spoof detecting.

2. The finger sensor device according to claim 1 wherein said controller performs the spoof attempt detecting based upon at least one of spatial deformation distortion, relative error between corresponding finger features, and noise distortion.

3. The finger sensor device according to claim 2 wherein said controller performs spoof attempt detecting based upon non-linear deformation between corresponding enrollment and authentication finger features.

4. The finger sensor device according to claim 2 wherein the enrollment and authentication finger features comprise at least one of ridge-orientation angles, minutiae, and pores.

5. The finger sensor device according to claim 1 wherein said controller performs the aligning between corresponding enrollment and authentication finger features.

6. The finger sensor device according to claim 1 wherein said controller generates a match score based upon performing the matching;

and wherein said controller performs the spoof attempt detecting based upon the match score.

7. The finger sensor device according to claim 6 wherein the match score is based upon auxiliary alignment data;

the auxiliary alignment data comprising at least one of size of overlapping region, data quality, and content.

8. The finger sensor device according to claim 6 wherein said controller is for comparing the match score to a threshold for performing the spoof attempt detecting operation.

9. The finger sensor device according to claim 8 wherein the threshold is set based on a quality metric of the enrollment data.

10. The finger sensor device according to claim 1 wherein said controller performs spoof attempt detecting based upon auxiliary alignment data;

the auxiliary alignment data comprising at least one of size of overlapping region, data quality, and content.

11. The finger sensor device according to claim 1 wherein the controller is for generating a ratio of spoof likelihood based upon at least one of spatial deformation distortion, relative error between corresponding finger features, auxiliary alignment data, and noise distortion, and wherein determining the spoof attempt is based on the ratio.

12. The finger sensor device according to claim 1 wherein said controller comprises a memory cooperating with the finger sensing area for storing the enrollment data.

13. A finger sensor device comprising:

a finger sensing area; and

a controller cooperating with said finger sensing area for storing enrollment data including finger feature locations and generating authentication data including finger features locations based upon positioning of an object adjacent said finger sensing area;

said controller also for performing

aligning corresponding finger feature pairs in the authentication data and the enrollment data,

matching between the aligned enrollment and authentication data,

spoof attempt detecting based upon at least one of spatial deformation distortion, relative error between corresponding finger feature pairs, and noise distortion, and their spatial locations in the aligned enrollment and authentication data, and

an authentication decision based upon the matching and spoof detecting.

14. The finger sensor device according to claim 13 wherein said controller performs spoof attempt detecting based upon non-linear deformation between corresponding enrollment and authentication finger features.

15. The finger sensor device according to claim 14 wherein the enrollment and authentication finger features comprise at least one of ridge-orientation angles, minutiae, and pores.

16. The finger sensor device according to claim 13 wherein said controller generates a match score based upon performing the matching;

and wherein said controller performs the spoof attempt detecting based upon the match score.

17. The finger sensor device according to claim 16 wherein the match score is based upon auxiliary alignment data;

the auxiliary alignment data comprising at least one of size of overlapping region, data quality, and content.

18. The finger sensor device according to claim 13 wherein said controller performs spoof attempt detecting based upon auxiliary alignment data;

the auxiliary alignment data comprising at least one of size of overlapping region, data quality, and content.

19. A method of determining a spoof attempt in a finger sensor device comprising a finger sensing area and a controller cooperating with the finger sensing area for storing enrollment data and generating authentication data based upon positioning of an object adjacent the finger sensing area, the method comprising:

using the controller for performing

aligning the authentication data and the enrollment data,

matching between the aligned authentication data and enrollment data, and

spoof attempt detecting based upon corresponding pairs of finger features and their spatial locations in the aligned enrollment and authentication data, and

an authentication decision based upon the matching and spoof attempt detecting.

20. The method according to claim 19 wherein using the controller for performing spoof attempt detecting comprises using the controller for performing the spoof attempt detecting based upon at least one of spatial deformation distortion, relative error between corresponding finger features, and noise distortion.

21. The method according to claim 20 wherein using the controller for performing spoof attempt detecting comprises using the controller for performing the spoof attempt detecting based upon non-linear deformation between corresponding enrollment and authentication finger features.

22. The method according to claim 20 wherein the enrollment and authentication finger features comprise at least one of ridge-orientation angles, minutiae, and pores.

23. The method according to claim 19 wherein using the controller for performing aligning the authentication data and the enrollment data comprises using the controller for performing the aligning between corresponding enrollment and authentication finger features.

24. The method according to claim 19 wherein using the controller further comprises using the controller for performing generating a match score based upon matching;

and wherein using the controller for performing the spoof attempt detecting is based upon the match score.

25. The method according to claim 24 wherein using the controller for performing generating the match score comprises using the controller for performing generating the match score based upon auxiliary alignment data;

the auxiliary alignment data comprising at least one of size of overlapping region, data quality, and content.