Research and Implementation of FacialNet Based on Convolutional Neural Network

Chunya Wang Yunxiang Liu
2020 Zenodo  
Deep learning, artificial intelligence and other cutting-edge technologies are constantly being integrated into people's daily lives. Even small vending machines that can be seen everywhere in life have begun to use facial payment methods. The detection and recognition of face images is no longer unattainable, but the analysis and recognition of face information and characteristics (gender, age, race, etc.) is still not fully mature, in order to improve the accuracy of face information
more » ... on In this paper, a face information recognition model is designed. The feature extraction part uses an eight-layer convolutional neural network, and then uses two fully connected modules as the classifiers for gender recognition and age recognition. The experimental results show that the model uses the advantages of the convolutional neural network so that the model can predict the gender and age of the face more accurately. Keywords: Convolutional neural network, Face recognition, Gender recognition, Age recognition
doi:10.5281/zenodo.4554574 fatcat:nmxxodj7kjczzbaoijzrdkjlbq