Finger/non-finger determination for biometric sensors

• US 9,665,763 B2
• Filed: 08/31/2014
• Issued: 05/30/2017
• Est. Priority Date: 08/31/2014
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Burns, David William, Du, Eliza Yingzi, Chen, Ming Yu, Vural, Esra, Chan, Kwokleung, Ganti, Suryaprakash, Schneider, John Keith
• Primary Examiner(s): Thomas, Mia M
• Application Number:
  US14/474,164
• Publication Number:
  US 20160063294A1
• Time in Patent Office: 1,003 Days
• CPC Class Codes: G06V 40/13 Sensors therefor
• CPC Class Codes: G06V 40/1306 non-optical, e.g. ultrasonic or capacitive sensing
• CPC Class Codes: G06V 40/1312 direct reading, e.g. contactless acquisition
• CPC Class Codes: G06V 40/1347 Preprocessing; Feature extraction

Abstract

Some methods may involve determining whether an object is positioned on or near a portion of a fingerprint sensor system. If an object is positioned on or near the portion of the fingerprint sensor system, an acoustic impedance of at least a portion of the object may be determined. Based at least in part on the acoustic impedance, it may be determined whether the object is a finger.

Claims

1. A fingerprint sensing apparatus, comprising:

a fingerprint sensor system including an ultrasonic sensor array; and

a control system capable of;

receiving fingerprint sensor data from the fingerprint sensor system;

determining that an object is positioned proximate a portion of the fingerprint sensor system;

determining an acoustic impedance of at least a portion of the object;

determining whether the acoustic impedance is within an acoustic impedance range corresponding to that of skin; and

determining, based at least in part on the acoustic impedance, whether the object is a finger, wherein;

determining whether the object is a finger involves detecting patterns associated with fingerprints;

detecting patterns associated with fingerprints involves evaluating fingerprint sensor data blocks for at least a portion of the fingerprint sensor data; and

the fingerprint sensor data blocks correspond to blocks of fingerprint sensor pixels of the fingerprint sensor system.

2. The apparatus of claim 1, wherein acoustic impedance range is between about 1.3 MRayls and 2.1 MRayls.

3. The apparatus of claim 1, wherein the control system is capable of distinguishing a finger from another body part.

4. The apparatus of claim 3, wherein distinguishing a finger from another body part involves distinguishing a nose, a cheek, a palm, an elbow, a knuckle or another part of the body from a finger.

5. The apparatus of claim 1, wherein detecting patterns associated with fingerprints involves one or more analyses selected from a list of analyses consisting of:

a local texture pattern analysis, a gradient-based pattern analysis, a wavelet-based analysis, a frequency domain analysis and combinations thereof.

6. The apparatus of claim 1, wherein the control system is further capable of applying one or more filters to the fingerprint sensor data before detecting patterns associated with fingerprints.

7. The apparatus of claim 6, wherein the one or more filters pass a range of spatial frequencies corresponding to patterns associated with fingerprints.

8. The apparatus of claim 6, wherein the one or more filters include at least one filter selected from a group of filters consisting of:

a band-pass filter, low-pass filter, a median filter, a de-noise filter, a Gaussian filter, a wavelet filter and a running-average filter.

9. The apparatus of claim 1, wherein the blocks of fingerprint sensor pixels are contiguous.

10. The apparatus of claim 1, wherein the blocks include substantially all fingerprint sensor pixels that correspond with the object.

11. The apparatus of claim 1, wherein the blocks of fingerprint sensor pixels are non-contiguous.

12. The apparatus of claim 1, wherein determining whether the object is a finger involves detecting a finger shape.

13. The apparatus of claim 12, wherein detecting a finger shape involves detecting a three-dimensional shape.

14. The apparatus of claim 1, wherein the control system is further capable of determining whether the object is a stylus.

15. The apparatus of claim 14, wherein the control system is capable of providing a stylus output signal indicating whether the object is a stylus.

16. The apparatus of claim 1, wherein the control system is further capable of extracting fingerprint features from the fingerprint sensor data if the control system determines that the object is a finger.

17. The apparatus of claim 1, wherein the control system includes one or more general purpose single- or multi-chip processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs) or other programmable logic devices, discrete gates or transistor logic, discrete hardware components, or combinations thereof.

18. The apparatus of claim 1, wherein the control system is capable of pre-processing the fingerprint sensor data prior to determining whether the object is a finger.

19. The apparatus of claim 1, wherein the control system is capable of pre-processing the fingerprint sensor data prior to determining whether an object is positioned proximate a portion of the fingerprint sensor system.

20. The apparatus of claim 19, wherein the pre-processing involves at least one process selected from a group of processes consisting of filtering, gain compensation, offset adjustment, background subtraction, a de-noise operation, contrast enhancement, scaling, linearization and clipping.

21. The apparatus of claim 19, wherein the pre-processing involves:

identifying malfunctioning sensor pixels, the malfunctioning sensor pixels including at least one of dead sensor pixels or low-performing sensor pixels; and

excluding fingerprint sensor data from the malfunctioning sensor pixels.

22. A method, comprising:

receiving fingerprint sensor data from a fingerprint sensor system;

determining that an object is positioned proximate a portion of the fingerprint sensor system;

determining an acoustic impedance of at least a portion of the object;

determining whether the acoustic impedance is within an acoustic impedance range corresponding to that of skin; and

determining, based at least in part on the acoustic impedance, whether the object is a finger and whether the object is a stylus,

and wherein;

determining whether the object is a finger involves detecting patterns associated with fingerprints;

detecting patterns associated with fingerprints involves evaluating fingerprint sensor data blocks for at least a portion of the fingerprint sensor data; and

the fingerprint sensor data blocks correspond to blocks of fingerprint sensor pixels of the fingerprint sensor system.

23. A non-transitory medium having software stored thereon, the software including instructions for controlling a fingerprint sensing apparatus to:

receive fingerprint sensor data from a fingerprint sensor system;

pre-process the fingerprint sensor data, wherein pre-processing the fingerprint sensor data involves;

identifying malfunctioning sensor pixels, the malfunctioning sensor pixels including at least one of dead sensor pixels or low-performing sensor pixels; and

excluding fingerprint sensor data from the malfunctioning sensor pixels;

determine that an object is positioned proximate a portion of the fingerprint sensor system;

determine an acoustic impedance of at least a portion of the object;

determine whether the acoustic impedance is within an acoustic impedance range corresponding to that of skin; and

determine, based at least in part on the acoustic impedance, whether the object is a finger.

24. The non-transitory medium of claim 23, wherein determining whether the object is a finger involves detecting patterns associated with fingerprints.

25. The non-transitory medium of claim 23, wherein detecting patterns associated with fingerprints involves one or more analyses selected from a list of analyses consisting of a local texture pattern analysis, a gradient-based pattern analysis, a wavelet-based analysis, a frequency domain analysis, and combinations thereof.

26. The non-transitory medium of claim 23, wherein detecting patterns associated with fingerprints involves evaluating fingerprint sensor data blocks for at least a portion of the fingerprint sensor data, the fingerprint sensor data blocks corresponding to blocks of fingerprint sensor pixels of the fingerprint sensor system.

27. The non-transitory medium of claim 23, wherein the software includes instructions for controlling the fingerprint sensing apparatus to distinguish a finger from another body part.

28. A fingerprint sensing apparatus, comprising:

a fingerprint sensor system including an ultrasonic sensor array; and

control means for;

receiving fingerprint sensor data from the fingerprint sensor system;

determining that an object is positioned proximate a portion of the fingerprint sensor system;

determining an acoustic impedance of at least a portion of the object;

determining whether the acoustic impedance is within an acoustic impedance range corresponding to that of skin; and

determining, based at least in part on the acoustic impedance, whether the object is a finger, wherein;

determining whether the object is a finger involves detecting patterns associated with fingerprints;

detecting patterns associated with fingerprints involves evaluating fingerprint sensor data blocks for at least a portion of the fingerprint sensor data; and

the fingerprint sensor data blocks correspond to blocks of fingerprint sensor pixels of the fingerprint sensor system.

29. The apparatus of claim 28, wherein the control means includes means for distinguishing a finger from another body part.