Face Anti-Spoofing Combining MLLBP and MLBSIF
Azeddine Benlamoudi, Fares Bougourzi, Mohammed En-nadhir Zighem, Salah Eddine Bekhouche, Abdelkrim Ouafi, Abdelmalik Taleb‐Ahmed · 2017
The Face recognition applications are the used way of authentication identity verification of mobile payment. This popularity of face recognition is easy to raise concerns about face spoof attacks; use photo or video of an authorized person’s face to access to facilities or services. We propose an efficient and more robust algorithm for face spoof detection based-on combination between MLLBP and MLBSIF. An ensemble classifier, consisting of Lib-SVM classifiers using different face spoof attacks (e.g., printed photo and replayed video) to trained our model which is used to distinguish between genuine and spoof faces. We tested our approach on CASIA FASD database. Our proposed approach conduct a good result compared with the state of art.