Multi-view face recognition using deep neural networks

Feng Zhao, Jing Li, Lu Zhang, Zhe Li, Sang-Gyun Na

Abstract: Highlights•A face image recognition algorithm based on deep neural network is proposed.•We proposes the use of convolutional neural network to extract facial features.•Our method proposes the use of PCA algorithm for feature dimensionality reduction.•Our method proposes the use of Bayesian theory for vector similarity judgment.•Results show a 98.52% accuracy of face image recognition on the CAS-PEAL dataset.