Multi-resolutional texture analysis fingerprint liveness systems and methods

Abstract

Various systems, methods, and programs embodied in computer-readable mediums are provided for fingerprint liveness detection. In one embodiment, a method for determining fingerprint liveness is provided that comprises receiving a plurality of image analysis data of a fingerprint image; condensing the plurality of image analysis data; and determining liveness of the fingerprint image based upon the condensed data.

At least the following is claimed: 
     
         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.