USER SPECIFIC CLASSIFIERS FOR BIOMETRIC LIVENESS DETECTION

1 . A method for determining biometric liveness, comprising:

obtaining biometric data from a user;

extracting features from the biometric data;

determining a liveness score based upon a comparison of the features to a feature template and a liveness classifier corresponding to the user, the liveness classifier based at least in part upon a baseline classifier associated with a group of users and previously obtained biometric enrollment data from the user; and

determining biometric liveness of the user in response to a comparison of the liveness score with a liveness threshold.

2 . The method of claim 1 , comprising:

creating the liveness classifier using the baseline classifier and the biometric enrollment data, the baseline classifier based at least in part upon biometric data from the group of users; and

extracting the feature template from the biometric enrollment data.

3 . The method of claim 2 , wherein the baseline classifier is based upon a set of biometric data associated with a plurality of individual subjects, the set of biometric data comprising live and spoofed biometric samples.

4 . The method of claim 1 , wherein the liveness threshold is based upon an equal error rate (EER) evaluated using scores from the group of users evaluated on the baseline classifier.

5 . The method of claim 1 , wherein the biometric data is fingerprint scan data.

6 . A system, comprising:

a processor system having processing circuitry including a processor and a memory; and

a liveness detection system stored in the memory and executable by the processor to cause the processor system to:

extract features from biometric data obtained from a user;

determine a liveness score based upon a comparison of the features to a feature template and a liveness classifier corresponding to the user, the liveness classifier based at least in part upon a baseline classifier associated with a group of users and previously obtained biometric enrollment data from the user; and

determine biometric liveness of the user in response to a comparison of the liveness score with a liveness threshold.

7 . The system of claim 6 , wherein the processor system is a central server in a network.

8 . The system of claim 7 , wherein the biometric data is received from an interface device configured to obtain the biometric data.

9 . The system of claim 8 , wherein the biometric data is fingerprint scan data.

10 . The system of claim 6 , wherein the processor system is an interface device.

11 . The system of claim 10 , wherein the interface device is a smart phone.

12 . The system of claim 6 , wherein the liveness detection system causes the processor system to:

create the liveness classifier using the baseline classifier and the biometric enrollment data, the baseline classifier based at least in part upon biometric data from the group of users; and

extract the feature template from the biometric enrollment data.

13 . The system of claim 12 , wherein the liveness classifier is stored in a classifier database and the feature template is stored in a template database.

14 . The system of claim 12 , wherein the baseline classifier is stored in a database.

15 . The system of claim 6 , wherein the liveness threshold is based upon an equal error rate (EER) evaluated using scores from the group of users evaluated on the baseline classifier.