查看文章

Many hybrid and multimodal biometric recognition techniques have been presented to provide secure and authentic systems, incorporating both soft and hard biometric schemes. This article proposes a new hybrid technique which ensures the authenticity of the user to the system, as well as monitors whether the user has passed the biometric system as a normal or spoofed one. The proposed scheme is two-fold: Tier I integrates fingerprint, palm vein print and face recognition to match with the corresponding databases, and Tier II uses fingerprint, palm vein print and face anti-spoofing convolutional neural networks (CNN) based models to detect spoofing. In first stage, the hash of a fingerprint is compared with the fingerprint database. After a successful match of the fingerprint, it is tested on a CNN-based model of the fingerprint to verify whether it is a spoof or real. A similar process is repeated for the palm and face …