Facial recognition technology has been used in many fields such as security, biometric
identification, robotics, video surveillance, health, and commerce due to its ease of …

English Recently, the facial recognition has aroused the interest of the scientific community,
this technique of biometric that is effective, non-intrusive and contactless has taken an …

Recently, face recognition applications achieved promising results by using Convolutional
Neural Network (CNN). CNN has the capability to extract features automatically from images …

Face recognition (FR), the process of identifying people through facial images, has
numerous practical applications in the area of biometrics, information security, access …

Proposing a proper method for face recognition is still a challenging subject in biometric and
computer vision applications. Although some reliable systems were introduced under …

For real world applications like video surveillance, human machine interaction, and security
systems, face recognition is of great importance. Deep learning based methods have shown …

In this paper, we propose an effective convolutional neural network (CNN) model to the
problem of face recognition. The proposed CNN architecture applies fused convolution …

Face Recognition is one of the major research areas in Computer Vision. Researchers have
applied many image processing techniques and neural networks for the problem but still not …

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 recognition is an important function of video surveillance systems, enabling verification
and identification of people who appear in a scene often captured by a distributed network of …