MULTI-RESOLUTIONAL TEXTURE ANALYSIS FINGERPRINT LIVENESS SYSTEMS AND METHODS

1 . A method for determining fingerprint liveness, comprising the steps of:

receiving first and second images of a fingerprint, wherein the second image is obtained a predetermined time after the first image;

detecting a singularity point;

determining a time domain signal for the singularity point using data from the first and second images;

decomposing the time domain signal using a wavelet packet transform;

determining an entropy of the decomposed signals;

sifting the decomposed signals; and

determining liveness of the fingerprint images based upon the entropy of the sifted signals.

2 . The method of claim 1 , further comprising the steps of:

detecting a plurality of singularity points;

determining the number of singularity points in the plurality; and

determining that the fingerprint images are not live based upon the number of singularity points and a predetermined threshold.

3 . The method of claim 1 , wherein the step of determining a singularity point further comprises the steps of:

detecting a first singularity point of the first image, wherein the first singularity point is at a fixed pixel location;

detecting a second singularity point of the second image, wherein the second singularity point is at the fixed pixel location; and

matching the first singularity point to the second singularity point.

4 . The method of claim 1 , wherein the step of detecting a singularity point comprises performing wavelet analysis of fingerprint image pixels.

5 . The method of claim 1 , wherein the step of determining a time domain signal comprises B-spline interpolation of pixel data from the first and second images.

6 . The method of claim 1 , wherein the step of determining liveness of the fingerprint image comprises determining that the fingerprint images are live based upon the entropy of the sifted signals and a predetermined threshold.

7 . A system, comprising:

a processor circuit having a processor and a memory;

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

logic that receives first and second images of a fingerprint, wherein the second image is obtained a predetermined time after the first image;

logic that detects a singularity point;

logic that determines a time domain signal for the singularity point using data from the first and second images;

logic that decomposes the time domain signal using a wavelet packet transform;

logic that determines an entropy of the decomposed signals;

logic that sifts the decomposed signals; and

logic that determines liveness of the fingerprint images based upon the entropy of the sifted signals.

8 . The method of claim 7 , wherein the logic that detects a singularity point further comprises:

logic that detects a first singularity point of the first image, wherein the first singularity point is at a fixed pixel location;

logic that detects a second singularity point of the second image, wherein the second singularity point is at the fixed pixel location; and

logic that matches the first singularity point to the second singularity point.

9 . The system of claim 7 , wherein the detection system further comprises:

logic that detects a plurality of singularity points;

logic that determines the number of singularity points in the plurality; and

logic that determines that the fingerprint images are not live based upon the number of singularity points and a predetermined threshold.