Face Recognition Based on MTCNN and Convolutional Neural Network
Hongchang Ku, Wei Dong · Frontiers in Signal Processing · 2019
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 effect.At the same time, the memory consumption is small, and real-time face detection can be realized.Therefore, a method based on MTCNN and improved convolution neural network is proposed in this paper.Firstly, MTCNN is used to detect and align faces.Then, the output image is used as the input data of the improved convolution network, and multi-level convolution training is carried out.Finally, the accuracy of the model is tested.