This paper presents an in‐depth study of face detection, face feature extraction, and face
classification from three important components of a high‐capacity face recognition system …

Because a large number of labeled face data samples in special scenes need a large
number of training samples with identity markers, and it is impossible to accurately extract …

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 …

With the continuous improvement of computer software and hardware performance, a large
amount of image and video data can be easily collected and quickly transmitted, and new …

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 …

The recognition of personnel entering and leaving the mine is an important link to ensure
safe production. As an effective identity recognition technology, face recognition has been …

In the embedded system environment, both large amount of face image data and the slow
recognition process speed are the main problem facing face recognition of end devices. This …

In complex environment, the performance of traditional face recognition algorithm decreases
greatly. In order to further improve the recognition accuracy of current face recognition …

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 …

At present, a large number of off-line videos is stored in the server of surveillance network. In
order to retrieve the target face in these massive videos frames, the face retrieval system is …