In recent times, there has been a noticeable increase in the application of human biometrics
for user authentication in various domains, such as online banking. However, the use of …

In the fields of pattern recognition and image processing, deep learning (DL) technology has
been intensively studied. According to the characteristics of multi-modal medical images …

Convolutional neural networks (CNN) are the best deep learning architecture to perform
tumors classification for different imaging modalities: Us, X-ray, CT, and MRI. The scarcity of …

Nowadays, there are massive demands on the broadband multimedia services. Data
security in today's world is an essential issue in different aspects of life such as marketing …

This paper presents an algorithm for image super-resolution based on CNN. The objective is
to work on medical images including images with tumors for better diagnosis. The CNN is …

Biometric systems have recently become popular for modern security applications.
Unfortunately, these systems have been the target of many hacking attempts. Biometrics in …

Abstract Three-dimensional video (3DV) communication through wireless channels suffers
from bit stream losses. Therefore, the efficient performance of 3DV transmission techniques …

Several cancelable biometric procedures have been developed to preserve personal data
security. This research presents a cancelable biometric authentication mechanism to ensure …

Speech is a fundamental means of human interaction. Speaker Identification (SI) plays a
crucial role in various applications, such as authentication systems, forensic investigation …

Regularized signal and image reconstruction is one of the powerful tools to acquire original
signals or images from the versions degraded with convolution and noise effects. The main …