Face Anti-Spoofing based on image-quality measures
This toolchain implements a face anti-spoofing algorithm based on image-quality measures (IQM) and LDA.
The algorithm expects video files as input. A two-class classifier is constructed using a set of IQM. The real accesses are considered as the positive, and the attacks as the negative class.
The toolchain consists of the following steps:
The toolchain is based upon the work presented in [Chingovska12]. All the algorithms presented there can be readily implemented and used with this toolchain.