There has been an increasing consensus in learning based face anti-spoofing that the divergence terms of camera models is causing a large domain gap real application scenarios. We describe framework eliminates influence inherent variance from acquisition cameras at feature level, leading to generalized spoofing detection model could be highly adaptive different devices. In particular, composed ...

As the demand for precision positioning grows around world and spreads across various industries, initiatives are being taken to increasingly protect Global Navigation Satellite System (GNSS) receivers from intruders of all kinds, unintentional industrial interference advanced GNSS spoofing systems. The timing cost these forthcoming satellite navigation safety efforts difficult decipher due lar...

Existing face anti-spoofing models using deep learning for multimodality data suffer from low generalization in the case of variety presentation attacks, such as 2-D printing and high-precision 3-D masks. One main reasons is that nonlinearity multispectral information used to preserve intrinsic attributes between a real fake not well extracted. To address this issue, we propose multimodility da...

The subject matter of the article is design an attendance system based on face recognition with anti-spoofing, alarm, and Email Automation to improve accuracy efficiency, highlighting its potential revolutionize traditional tracking methods. administration might be a tremendous load authority if it done manually. Therefore, goal this study reliable efficient that can replace manual approaches w...

This paper presents a face liveness detection system against spoofing with photographs, videos, and 3D models of a valid user in a face recognition system. Antispoofing clues inside and outside a face are both exploited in our system. The inside-face clues of spontaneous eyeblinks are employed for anti-spoofing of photographs and 3D models. The outside-face clues of scene context are used for a...