Spoofing face recognition
Y. Binny Reeba, R. Shanmugalakshmi · 2015
Spoofing face recognition is the implementation of detecting facial masks. The algorithm used is Baseline face recognition algorithm, which is mainly based on the functions of face recognition and anti spoofing. The ISV method is used for the face recognition of 2D images by detecting the SURF feature of an image. To differentiate the real faces and mask, anti spoofing is performed by extracting the LBP feature. Finally based on the LBP histograms the features extracted are trained by SVM for feature classification to indicate whether the input will be accessed or not. The SVM classifier was selected because of its high accuracy. This work can be extended in future by detecting the surgically altered faces along with the face mask detection.