Comparison of Gabor Filters and LBP Descriptors Applied to Spoofing Attack Detection in Facial Images

Abstract

Spoofing attack detection using facial images is a problem that violates the security of systems that use face recognition technologies. The objective of this research is to show a performance comparison between two texture descriptors: Gabor Filters and Local Binary Patterns applied to the spoofing detection by means of images of the face in order to provide information of interest for future research. These algorithms were evaluated under the same conditions. The results of experimentation show that Gabor filters obtain better discriminant descriptors in synthetic images, making them a good option for applying systems that use facial biometrics.