关键词: 塔式神经网络, 主成分分析, 前向BP网, 人脸验证, LAUSANNE协议

Abstract: This article first introduces the method used on face authentication with BP neural networks，then proposes a new model（Cs_Pyramid） which is the combination of the Cs_PCA and pyramidal neural network based on Cs_PCA.The traditional BP neural networks are restricted to the dimensions of input samples，so it needs to reduce the dimensions by kinds of methods before training.But，restricted to these methods，lots of information will be lost and it will influence the effect of the face authentication.So this paper brings Cs_Pyramid under this situation.In the same way，Cs_BP is proposed from BP with dimensionality reduction by PCA based on Cs_PCA.Besides，compares the experimental results between Cs_BP and Cs_Pyramid on ORL face database under the LAUSANNE protocol.The results indicate that the Cs_Pyramid is better than Cs_BP.

Key words: pyramidal neural networks, Principal Component Analysis（PCA）, BP neural networks, face authentication, LAUSANNE protocol