Current light-field salient object detection methods have difficulty in accurately distinguishing
objects from complex backgrounds. In this paper, we believe that this problem can be …

With the growing availability of databases for face presentation attack detection, researchers
are increasingly focusing on video-based face anti-spoofing methods that involve hundreds …

In contemporary digital security systems, the generation and management of cryptographic
keys, such as passwords and pin codes, often rely on stochastic random processes and …

Biometric security is the cornerstone of modern identity verification and authentication
systems, where the integrity and reliability of biometric samples is of paramount importance …

The use of biometric structures in our everyday lives is becoming increasingly frequent.
Biometrics play a crucial role in various applications, including crime analysis, person …

As a classical machine learning model, support vector machine (SVM) has attracted much
attention due to its rigorous theoretical foundation and powerful discriminative performance …

Without develo** dedicated countermeasures, facial biometric systems can be spoofed
with printed photos, replay attacks, silicone masks, or even a 3D mask of a targeted person …

Modern systems of face recognition (FRS) are used in a wide range of computer
applications: for user authentication; in email marketing; in social networks; for personal …

To raise the performance of the current image saliency detection method and promote the
extraction effect of salient regions in complex images, from the perspective of multi feature …

Image saliency detection is an important research topic in the field of computer vision. With
the traditional saliency detection models, the texture details are not obvious and the edge …