Towards the security threats brought by presented fake faces to face recognition systems,
many countermeasures have been presented to resist fake faces and achieved promising …

Face images are the most commonly used and easily available biometric data in extremely
accurate face recognition systems. Even while biometric technology is precise and improves …

Facial recognition systems are widely used in various daily applications due to their high
accuracy rate and ease of use. Unfortunately, their performance drops drastically when …

Face Presentation Attack Detection (PAD) is critical for enhancing the security of facial
recognition systems against sophisticated attacks. This study explores the use of general …

Interference factors in visible light image data, such as backgrounds and lighting, often lead
to poor performance of RGB-based single-modality face anti-spoofing methods. To address …

With the rapid development of artificial intelligence, various advanced image generation and
processing methods continue to emerge. In terms of fake face images, most are generated …

This work delves into the critical realm of Face Anti-Spoofing in face recognition systems.
Previous research has explored Deep Learning methodologies, encompassing End-to-End …

In recent years, location check-in on mobile components is a trending topic over social
media. At the same time, hackers grasp the geographical position (geo-position) data that …

With the increasing use of biometric technology in various applications of daily life, face
spoofing detection technology plays a crucial role in securing them against fraudulent …

Vehicle identification and re-identification is an essential tool for traffic surveillance.
However, with cameras at every corner of the street, there is a requirement for private …