Currently, data generated by smart devices connected through the Internet is increasing
relentlessly. An effective and efficient paradigm is needed to deal with the bulk amount of …

In recent years, the Internet-of-Things (IoT) technology is being used in many application
areas such as healthcare, video surveillance, transportation etc. The massive adoption and …

Face recognition finds its major applications in biometrical security, health care and
marketing. Among many biometrics like finger print, iris, voice, hand geometry, signature …

Face recognition (FR) is defined as the process through which people are identified using
facial images. This technology is applied broadly in biometrics, security information …

Face is one of the most widely used biometrics for human identity authentication. Facial
recognition has remained an interesting and active research area in the past several …

With the development of computer vision and artificial intelligence, face recognition is widely
used in daily life. As one of the most concerned methods of biometric recognition, face …

Face recognition is the most important tool in computer vision and an inevitable technology
finding applications in robotics, security, and mobile devices. Though it is a technology of the …

Abstract Recent progresses in Convolutional Neural Networks (CNNs) and GPUs have
greatly advanced the state-of-the-art performance for face recognition. However, training …

Face recognition constitutes a relatively a popular area which has emerged from the rulers
of the social media to top universities in the world. Those frontiers and rule makers recently …

Face detection and recognition are emerging and active research areas in computer vision
and deep learning. Face detection and recognition have a wide range of applications such …