In this paper, a face recognition method based on deep learning is studied and
implemented. By adjusting the hierarchical depth and structure of the typical convolutional …

Face recognition is difficult due to the higher dimension of face image features and fewer
training samples. Firstly, in order to improve the performance of feature extraction, we …

In recent years, face recognition has become more and more appreciated and considered
as one of the most promising applications in the field of image analysis. However, the …

The current research results of face recognition have poor recognition accuracy, time-
consuming and high information loss rate. A method of automatic face recognition based on …

MTCNN is a face detection method based on deep learning, which is more robust to light,
angle and facial expression changes in natural environment, and has better face detection …

Face detection is a biometric technology that automatically contains facial feature
information. It integrates digital image processing, pattern recognition, and other …

Purpose: Due to the lack of prior knowledge of face images, large illumination changes, and
complex backgrounds, the accuracy of face recognition is low. To address this issue, we …

Aiming at the problems of low non-constrained feature discriminative ability and poor face
recognition performance of current many algorithms, an improved face recognition algorithm …

In order to further improve the ability of automatic feature extraction of deep learning
technology and better solve the problem of system recognition ability declining when the …

In this paper, we present a new face detection scheme using deep learning and achieving
state-of-the-art recognition performance using real-world datasets. We designed and …