Systems and methods for improving spoof detection based on matcher alignment information

A method for performing spoof detection, comprising:

• receiving, by a processor from a biometric sensor, an input image of a biometric;
• obtaining, by the processor, alignment information that aligns the input image to an enrollment image of the biometric;
• determining, by the processor, an overlap region and a non-overlap region of the input image relative to the enrollment image based on the alignment information that aligns the input image to the enrollment image;
• extracting, by the processor, one or more anti-spoof features from the input image based on one or more of the overlap region and the non-overlap region;
• and
• determining, by the processor, whether the input image is a replica of the biometric based on the one or more anti-spoof features.

A non-transitory computer-readable storage medium storing instructions that, when executed by a processor, causes a computing device to perform spoof detection, by performing steps comprising:

• receiving, from a biometric sensor, an input image of a biometric;
• obtaining alignment information that aligns the input image to an enrollment image of the biometric;
• determining an overlap region and a non-overlap region of the input image relative to the enrollment image based on the alignment information that aligns the input image to the enrollment image;
• extracting one or more anti-spoof features from the input image based on one or more of the overlap region and the non-overlap region;
• and
• determining whether the input image is a replica of the biometric based on the one or more anti-spoof features.