Research on Fast Kernel Subspace Face Recognition Based on Deep Belief Network
Jian Wang, Shi Wang, Wei Zhang · Journal of Physics Conference Series · 2019
Abstract Face recognition usually uses different features as input signals. There are many conventional techniques being used and these include technical and fundamental analysis. In this paper, the sample data is mapped from low-dimensional space to high-dimensional space by the kernel method, which makes the classification algorithm have the ability to deal with non-linear data and can solve the small sample problem. At the same time, deep belief network is used as feature transformation and classification to mine feature information of high-dimensional face data. The experimental results show that the optimal recognition rate of the proposed algorithm in a specific face database is up to 96%.