PROJECT TITLE :

Face-Spoofing 2D-Detection Based on Moiré-Pattern Analysis

ABSTRACT:

Biometric systems primarily based on face recognition have been shown unreliable below the presence of face-spoofing images. Hence, automatic solutions for spoofing detection became necessary. In this paper, face-spoofing detection is proposed by looking out for Moiré patterns due to the overlap of the digital grids. The conditions underneath that these patterns arise are initial described, and their detection is proposed which is predicated on peak detection in the frequency domain. Experimental results for the algorithm are presented for an image database of facial shots underneath several conditions.


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