Background Breast cancer is a major public health concern, and early diagnosis and
classification are critical for effective treatment. Machine learning and deep learning …

In this article, we have built a prototype of a decentralized IoT based biometric face detection
framework for cities that are under lockdown during COVID-19 outbreaks. To impose …

Human face recognition research in biometric applications is a popular research subject
because of its various applications and challenges, including camera type, pose, light or …

The coronavirus pandemic has led to the implementation of health protocols such as the use
of masks worldwide. Without exception, work activities also require the wearing of masks …

This research aims to determine the performance of face identification on closed circuit
television (CCTV) cameras. There are two data classifications used, namely training data …

The face recognition biometric technique based on whole-face images is continuing in
research still due to various levels of distinctions namely, distance, appearances …

The traditional attendance method involves instructors marking registers, which leads to
human error and a lot of upkeep. In the existing system, time consumption is a significant …

Face identification becomes an extremely challenging task, while wearing masks since
some aspects of the face are obscured, making it crucial to develop advanced facial …

Face recognition is process of detecting facial images in real time and identifying facial
image. Detecting and recognizing persons face to authenticate by their Multiview angled …

This study aims to identify people based on faces using occlusions in the form of a veil.
These results will be used as a reference for tracking suspects in terrorism. The data were …