Layered filtering for biometric sensors

• US 9,582,705 B2
• Filed: 08/31/2014
• Issued: 02/28/2017
• Est. Priority Date: 08/31/2014
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Du, Eliza Yingzi, Chen, Ming Yu, Vural, Esra, Chan, Kwokleung, Ganti, Suryaprakash, Schneider, John Keith, Burns, David William
• Primary Examiner(s): Park, Soo Jin
• Application Number:
  US14/474,160
• Publication Number:
  US 20160063300A1
• Time in Patent Office: 912 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06V 40/13 Sensors therefor
• CPC Class Codes: G06V 40/1312 direct reading, e.g. contactless acquisition
• CPC Class Codes: G06V 40/1347 Preprocessing; Feature extraction
• CPC Class Codes: G06V 40/1365 Matching; Classification
• CPC Class Codes: G06V 40/1394 using acquisition arrangements

Abstract

A fingerprint sensing apparatus includes a fingerprint sensor system and a control system capable of receiving fingerprint sensor data from the fingerprint sensor system. The control system may determine, according to the fingerprint sensor data, whether an object is positioned proximate a portion of the fingerprint sensor system. If the control system determines that an object is positioned proximate the portion of the fingerprint sensor system, the control system may determine whether the object is a finger or a non-finger object. The control system may determine whether the fingerprint sensor data includes fingerprint image information of at least an image quality threshold.

Claims

1. A fingerprint sensing apparatus, comprising:

a fingerprint sensor system; and

a control system capable of;

receiving fingerprint sensor data from fingerprint sensor pixels of the fingerprint sensor system;

determining fingerprint sensor data blocks for at least a portion of the fingerprint sensor data, wherein the fingerprint sensor data blocks correspond to blocks of fingerprint sensor pixels of the fingerprint sensor system;

calculating at least one statistical variance value for fingerprint sensor data corresponding to at least one of the fingerprint sensor data blocks;

determining, according to the at least one statistical variance value, whether an object is positioned proximate a portion of the fingerprint sensor system, wherein determining whether an object is positioned proximate a portion of the fingerprint sensor system involves determining whether the at least one statistical variance value is above or below a threshold value; and

, if the control system determines that an object is positioned proximate the portion of the fingerprint sensor system,

determining whether the object is a finger or a non-finger object.

2. A apparatus of claim 1, wherein, if the control system determines that the object is a finger, the control system is capable of determining whether the fingerprint sensor data includes fingerprint image information of at least an image quality threshold.

3. A apparatus of claim 2, wherein the control system is capable of extracting fingerprint features from the fingerprint image information if fingerprint image information of at least the image quality threshold is included in the fingerprint sensor data.

4. A apparatus of claim 3, wherein extracted fingerprint features include at least one feature selected from a list of features consisting of:

fingerprint ridge endings, fingerprint ridge bifurcations, short ridges and islands.

5. A apparatus of claim 3, wherein the control system is capable of determining an extracted fingerprint feature quality.

6. A apparatus of claim 3, wherein the control system is capable of generating a fingerprint template based, at least in part, on extracted fingerprint features.

7. A apparatus of claim 6, wherein the control system is capable of determining a fingerprint template quality.

8. A apparatus of claim 7, wherein determining the fingerprint template quality involves determining a fingerprint template quality score based on at least one factor selected from a list of factors consisting of:

a template matching score, a minutia quality, a minutiae quantity, a feature quality, a feature quantity, image contrast, image gradient information, a ridge orientation quality, a ridge frequency, and a ridge flow quality.

9. A apparatus of claim 6, wherein the control system is capable of:

comparing the fingerprint template with a previously-obtained fingerprint template; and

determining whether the fingerprint template matches the previously-obtained fingerprint template.

10. A apparatus of claim 9, wherein the control system is capable of updating the previously-obtained fingerprint template to include at least one of the extracted fingerprint features if the control system determines that the fingerprint template matches the previously-obtained fingerprint template.

11. A apparatus of claim 1, wherein determining whether the object is a finger involves determining whether the fingerprint sensor data indicates periodic or quasi-periodic elements that are within a range of spatial frequencies.

12. A apparatus of claim 1, wherein determining whether the object is a finger involves distinguishing a finger from another body part.

13. A apparatus of claim 1, wherein determining whether the object is a finger involves performing at least one process selected from a group of processes consisting of:

transforming fingerprint sensor data into the frequency domain, performing a texture analysis, applying a feature detection algorithm, and applying an edge detection algorithm.

14. A apparatus of claim 1, wherein determining whether the object is a finger involves determining that a non-finger object is a stylus.

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

16. A apparatus of claim 1, wherein the fingerprint sensor system includes an ultrasonic sensor array.

17. A apparatus of claim 16, wherein the control system is capable of assessing an acoustic impedance of one or more objects proximate the fingerprint sensor system.

18. A apparatus of claim 17, wherein the control system is capable of determining whether an object has an acoustic impedance that is within an acoustic impedance range corresponding to that of skin.

19. A apparatus of claim 18, wherein the acoustic impedance range is from 1.3 MRayls to 2.1 MRayls.

20. A apparatus of claim 18, wherein, if the object has an acoustic impedance that is within a range corresponding to that of skin, the control system is capable of distinguishing a finger from another body part.

21. 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 or a non-finger object.

22. 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.

23. The apparatus of claim 22, 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.

24. The apparatus of claim 22, 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.

25. A fingerprint sensing apparatus, comprising:

a fingerprint sensor system; and

a control means for;

receiving fingerprint sensor data from fingerprint sensor pixels of the fingerprint sensor system;

determining fingerprint sensor data blocks for at least a portion of the fingerprint sensor data, wherein the fingerprint sensor data blocks correspond to blocks of fingerprint sensor pixels of the fingerprint sensor system;

calculating at least one statistical variance value for fingerprint sensor data corresponding to at least one of the fingerprint sensor data blocks;

determining, according to the at least one statistical variance value, whether an object is positioned proximate a portion of the fingerprint sensor system, wherein determining whether an object is positioned proximate a portion of the fingerprint sensor system involves determining whether the at least one statistical variance value is above or below a threshold value; and

, if the control means determines that an object is positioned proximate the portion of the fingerprint sensor system,

determining whether the object is a finger or a non-finger object.

26. A apparatus of claim 25, wherein the control means includes means for determining whether the fingerprint sensor data includes fingerprint image information of at least an image quality threshold.

27. A apparatus of claim 26, wherein the control means includes means for extracting fingerprint features from the fingerprint image information if fingerprint image information of at least the image quality threshold is included in the fingerprint sensor data.

28. A apparatus of claim 25, wherein the control means includes means for determining whether an object has an acoustic impedance that is within an acoustic impedance range corresponding to that of skin.

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

receive fingerprint sensor data from fingerprint sensor pixels of a fingerprint sensor system;

determine fingerprint sensor data blocks for at least a portion of the fingerprint sensor data, wherein the fingerprint sensor data blocks correspond to blocks of fingerprint sensor pixels of the fingerprint sensor system;

calculate at least one statistical variance value for fingerprint sensor data corresponding to at least one of the fingerprint sensor data blocks;

determine, according to the at least one statistical variance value, whether an object is positioned proximate a portion of the fingerprint sensor system, wherein determining whether an object is positioned proximate a portion of the fingerprint sensor system involves determining whether the at least one statistical variance value is above or below a threshold value; and

, if the fingerprint sensing apparatus determines that an object is positioned proximate the portion of the fingerprint sensor system,

determine whether the object is a finger or a non-finger object.

30. A non-transitory medium of claim 29, wherein the software includes instructions for controlling the fingerprint sensing apparatus to determine whether the fingerprint sensor data includes fingerprint image information of at least an image quality threshold.

31. A non-transitory medium of claim 30, wherein the software includes instructions for controlling the fingerprint sensing apparatus to extract fingerprint features from the fingerprint image information if fingerprint image information of at least the image quality threshold is included in the fingerprint sensor data.

32. A fingerprint sensing method, comprising:

receiving fingerprint sensor data from fingerprint sensor pixels of a fingerprint sensor system;

determining fingerprint sensor data blocks for at least a portion of the fingerprint sensor data, wherein the fingerprint sensor data blocks correspond to blocks of fingerprint sensor pixels of the fingerprint sensor system;

calculating at least one statistical variance value for fingerprint sensor data corresponding to at least one of the fingerprint sensor data blocks;

determining, according to the at least one statistical variance value, whether an object is positioned proximate a portion of the fingerprint sensor system, wherein determining whether an object is positioned proximate a portion of the fingerprint sensor system involves determining whether the at least one statistical variance value is above or below a threshold value; and

, if it is determined that an object is positioned proximate the portion of the fingerprint sensor system,

determining whether the object is a finger or a non-finger object.

33. A method of claim 32, wherein, if it is determined that the object is a finger, the method further comprises determining whether the fingerprint sensor data includes fingerprint image information of at least an image quality threshold.

34. A method of claim 33, further comprising extracting fingerprint features from the fingerprint image information if fingerprint image information of at least the image quality threshold is included in the fingerprint sensor data.