In the recent years chaotic map and Discrete Cosine transform (DCT) have surfaced to
become an important field in data hiding methods. In this proposed work, a randomly high …

Video anomaly detection (VAD) is currently a trending research area within computer vision,
given that anomalies form a key detection objective in surveillance systems, often requiring …

Data hiding algorithms can achieve the issue of information security when secret data are
transmitted via the public network. This paper proposes a novel data-hiding scheme based …

Biometric signals can be acquired with different sensors and recognized in secure identity
management systems. However, it is vulnerable to various attacks that compromise the …

Palmprint has been widely used for personal authentication in many applications, such that
the assessment of recognition system security is important. Online attacks of palmprint …

This paper introduces an optimal solution for wavelet-based medical image fusion using
different wavelet families and Principal Component Ana1ysis (PCA) based on the Modified …

With the rapid advancement of deep learning theory and hardware device computing
capacity, computer vision tasks, such as object detection and instance segmentation, have …

Human skeleton data obtained using a depth camera have been used for pathological gait
recognition to support doctor or physician diagnosis decisions. Most studies for skeleton …

Personal recognition systems have emerged as highly important in the information society.
Biometric systems are widely used because its reliability in distinguishing between the …

Recently the active use of Internet and multimedia technologies has increased the violation
of copyright. Digital watermarking has a crucial role in the field of multimedia copyright …