… detection and face identification. This paper describes the … a face recognition system through
deep learning using OpenCV in python. Deep learning is an approach to perform the face …

… of face recognition (FR) since 2014, launched by the breakthroughs of DeepFace and DeepID.
Since then, deep learning … to stitch together pixels into invariant face representation, has …

… We provide a strategy for facial expression recognition based on deep learning and … low
recognition accuracy and weak generalisation capacity of traditional face expression recognition …

… accuracy of the face recognition module and the … face detection and recognition performance
of the embedded system. The embedded face recognition system based on deep learning …

… effectiveness of deep-learning based methods as features extraction tool for age-invariant
face recognition. In this study, we evaluate five popular pre-trained deep-convolutional neural …

… In this section, the advancement of face recognition using deep learning is discussed. In
almost all the related previous works used convolutional neural networks (CNN) as the main …

… deep learning which is a new approach for the symmetry face database is presented. A
proposed … The cross-resolution face recognition scenario based on the deep learning method is …

… the latest deep learning technology to design face recognition system, … face recognition,
we need to pay attention to the effect of the change of organs on the accuracy of face recognition…

… deep face recognition which takes the general images or video frames as input, and extracts
the deep feature of each face … Therefore, we systematically review the deep learning-based …

… face … Face recognition is one of the most seasoned at this point dynamic subjects of the
examination. It is reasonable for security and biometric application. The primary facial recognition …