Research Article | Open Access
ROBUST FACE ANTI-SPOOFING DETECTION SYSTEM: AN REVIEW
Avinash Bajirao Lambat ,Dr. R. J. Bhiwani
Pages: 3801-3809
Abstract
Automatically recognising people by their biometric characteristics is a well-established research area.Biometric systems are vulnerable to many different types of presentation attacks made by persons showing photo, video, or mask to spoof the real identity. This study introduces a novel approach to detect face-spoofing,by extracting the local features local binary pattern (LBP) and simplified weber local descriptor (SWLD)encoded convolutional neural network (CNN) models, WLD and LBP features are combined together to ensure the preservation of the local intensity information and the orientations of the edges.