Artificial intelligence (AI) and machine learning (ML) tools play a significant role in the recent
evolution of smart systems. AI solutions are pushing towards a significant shift in many fields …

Face biometrics have attracted significant attention as a technology for secure access to
mobile devices. This is because almost all smartphones have RGB cameras suitable for …

In this paper, we present an approach for minimizing the computational complexity of the
trained convolutional neural networks (ConvNets). The idea is to approximate all elements …

In this study, a fast object detection algorithm based on binary deep convolution neural
networks (CNNs) is proposed. Convolution kernels of different sizes are used to predict …

Extracting per-frame features using convolutional neural networks for real-time processing of
video data is currently mainly performed on powerful GPU-accelerated workstations and …

This paper presents design and implementation of a pipelined datapath for real-time face
detection using cascades of boosted classifiers. We propose following methods: symmetric …

This paper proposes an improved Convolutional Neural Network (CNN) algorithm approach
for license plate recognition system. The main contribution of this work is on the …

Automatic face recognition has long been established as one of the most active research
areas in computer vision. Face recognition in unconstrained environments remains …

In recent years, face detection has been widely applied to a variety of fields, such as face
recognition, image focusing, and surveillance systems. This study proposes a real-time multi …

In the field of face recognition and establishment of face database, face detection is a crucial
step. Most of the face detection proposed as now are focused on software algorithms to …