To solve the problem that it is difficult to combine performance and speed of face recognition
in embedded environment, we design and implement a fast face recognition method based …

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 …

In order to avoid overfitting of face recognition results in complex Convolutional Neural
Network (CNN) on small and medium face situation, this paper provides a face recognition …

Aiming at the problem of low real-time performance of face recognition and low face
recognition rate on ARM platform, a real-time face recognition method based on deep …

The traditional face recognition technology requires a lot of computation time for human face
feature extraction, and the recognition accuracy is limited by the extracted face features …

Today, with the rapid development of science and technology, the era of big data has been
proposed and triggered reforms in all walks of life. Face recognition is a biometric …

Be aimed at the problems of slow training speed and poor precision of traditional face
recognition methods, a face recognition method based on a convolutional neural network is …

With the advent of the era of big data, deep learning theory has been rapidly developed and
applied, especially in the field of image recognition. Compared with the classic recognition …

Abstract The Convolutional Neural Network (CNN) based on deep learning is introduced to
propose two deep face detection algorithms and design an embedded face recognition …

Algorithms based on Convolution neural networks are significantly better than artificially
designed features. Among these methods, the network trained with the triplet loss function …