Multi-resolutional texture analysis fingerprint liveness systems and methods

1. A method for determining fingerprint liveness, comprising:

generating, by a processor system, a histogram of at least a portion of a fingerprint image;

determining, by the processor system, multi-resolution texture analysis data from the histogram;

condensing, by the processor system, image analysis data including the multi-resolution texture analysis data to produce condensed image analysis data;

processing, by the processor system, the condensed image analysis data to determine a condensed data location within a cluster;

determining, by the processor system, a distance between the condensed data location and a centroid of the cluster; and

determining, by the processor system, liveness of the fingerprint image based upon the distance and a predefined threshold.

2. The method of claim 1 , wherein the histogram is based upon a plurality of equally spaced bins corresponding to different grayscale levels.

3. The method of claim 2 , wherein the histogram is normalized to provide a grayscale level distribution function for the fingerprint image.

4. The method of claim 1 , wherein condensing the image analysis data comprises principal component analysis.

5. The method of claim 1 , wherein the processing of the condensed image analysis data to determine the condensed data location within the cluster is performed by fuzzy c-means clustering.

6. The method of claim 1 , wherein the multi-resolution texture analysis data comprises a first order function.

7. The method of claim 1 , further comprising:

generating a co-occurrence matrix of the at least a portion of the fingerprint image; and

determining multi-resolution texture analysis data from the co-occurrence matrix.

8. The method of claim 7 , wherein the multi-resolution texture analysis data comprises a second order function.

9. The method of claim 1 , wherein the at least a portion of the fingerprint image is a region of interest of the fingerprint image.

10. The method of claim 9 , wherein the region of interest is determined about a center of the fingerprint image.

11. A system, comprising:

a processor circuit having a processor and a memory; and

a detection system stored in the memory and executable by the processor, the detection system comprising:

logic that determines multi-resolution texture analysis data from a histogram of at least a portion of a fingerprint image;

logic that condenses image analysis data including the multi-resolution texture analysis data to produce condense image analysis data;

logic that processes the condensed image analysis data to determine a condensed data location within a cluster;

logic that determines a distance between the condensed data location and a centroid of the cluster; and

logic that determines liveness of the fingerprint image based upon the distance and a predefined threshold.

12. The system of claim 11 , wherein the detection system further comprises logic that generates the histogram of the at least a portion of the fingerprint image.

13. The system of claim 12 , wherein the histogram is based upon a plurality of equally spaced bins corresponding to different grayscale levels.

14. The system of claim 13 , wherein the histogram is normalized to provide a grayscale level distribution function for the fingerprint image.

15. The system of claim 14 , wherein the detection system further comprises logic that determines statistical features of the fingerprint image based upon the grayscale level distribution function.

16. The system of claim 11 , wherein the at least a portion of the fingerprint image is a region of interest of the fingerprint image.

17. The system of claim 16 , wherein the detection system further comprises logic that extracts the region of interest from the fingerprint image.

18. The system of claim 17 , wherein the region of interest is about a center of the fingerprint image.

19. The system of claim 12 , wherein the detection system further comprises logic that removes one or more sections of the fingerprint image that exhibit a below a predefined threshold value prior to generating the histogram.

20. A system, comprising:

means for generating a histogram of at least a portion of a fingerprint image;

means for determining multi-resolution texture analysis data from the histogram;

means for condensing image analysis data including the multi-resolution texture analysis data to produce condensed data;

means for processing the condensed data to determine a condensed data location within a cluster;

means for determining a distance between the condensed data location and a centroid of the cluster; and

means for determining liveness of the fingerprint image based upon the distance and a predefined threshold.