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 …

The face recognition model has been applied to detect and compare between faces has
been investigated with avoid the thief from stealing from another houses and to identify the …

The restoration of ancient Arabic manuscripts is a challenging task because of the noise and
degradations present in restored historical documents. This paper presents an effective …

Our proposed approach for forest fire detection presents a significant advancement over
existing techniques. By integrating SVM-based classification with state-of-the-art deep CNN …

Image denoising techniques are very important in modern digital image processing. Many
classical denoising algorithms have evolved over the years, such as Butterworth filter, Mean …

While it's true that humans are skilled at recognizing faces, what about computers?
Machinery is transforming conventional human labor in today's technologically sophisticated …

In recent times, Facial Expression Recognition strategies are viewed as the main field of
examination in biometric innovation. In this exploration paper, we present a Facial …

Barchan morphometric data have been used as proxies of meteorological and topographical
data in environments where this data is lacking (such as other planetary bodies), gaining …

This paper presents an algorithm to identify digital illiterates by analyzing age and emotions
from facial recognition. In this paper, digital illiterates refer to people who struggle in using …

In suspect identification systems, facial features play a crucial role in recognising individuals.
However, the challenge lies in sustaining the accuracy of the system over a long period of …