This paper presents an intelligent human PC intuitive framework. In this proposed work,
artificial intelligence is utilized for home mechanization, which perceives human motions …

We demonstrate that modern image recognition methods based on artificial neural networks
can recover hidden information from images protected by various forms of obfuscation. The …

As we shift more of our lives into the virtual domain, the volume of data shared on the web
keeps increasing and presents a threat to our privacy. This works contributes to the …

Finger vein recognition has drawn increasing attention from biometrics community due to its
security and convenience. In this paper, a novel discriminative binary codes (DBC) learning …

The performance of many state-of-the-art deep face recognition models deteriorates
significantly for images captured under low illumination, mainly because the features of dim …

In this paper, we present an end-to-end deblurring network designed specifically for a class
of data. Unlike the prior supervised deep-learning works that extensively rely on large sets of …

When captured over long distances, image quality is degraded by inconsistent refractive
indexes in the atmosphere. This effect, known as Atmospheric Turbulence (AT), leads to …

In this paper, a novel approach is presented for adaptive illumination normalization for face
recognition under varying illuminations due to change in angle of light projection …

This paper presents a new mechanism for improving the convergence properties of path
vector routing algorithms, such as BGP. Using a route's path information, we develop two …

Face recognition is still a very demanding area of research. This problem becomes more
challenging in unconstrained environment and in the presence of several variations like …