Systems and methods for spoof detection based on local binary patterns

A method for performing spoof detection, comprising:

• receiving, by a processor from a biometric sensor, an input image of a biometric;
• analyzing, by the processor, the input image to identify pixels associated with a first feature in the input image;
• performing, by the processor, a local binary pattern (LBP) analysis on the pixels associated with the first feature, which comprises computing, for a given pixel of the pixels associated with the first feature, an LBP value corresponding to texture of one or more neighboring pixels around the given pixel;
• and
• determining, by the processor, whether the input image is a replica of the biometric based on results of performing the LBP analysis on the pixels associated with the first feature, wherein the LBP analysis is performed on less than all pixels in the input image.

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;
• analyzing the input image to identify pixels associated with a first feature in the input image;
• performing a local binary pattern (LBP) analysis on the pixels associated with the first feature, which comprises computing, for a given pixel of the pixels associated with the first feature, an LBP value corresponding to texture of one or more neighboring pixels around the given pixel;
• and
• determining whether the input image is a replica of the biometric based on results of performing the LBP analysis on the pixels associated with the first feature, wherein the LBP analysis is performed on less than all pixels in the input image.