关键词: 人脸识别, 选择性, 多本征空间, BP神经网络

Abstract: During face recognition，error recognition is a serious problem if only using the whole face.Considering the importance of partial facial features and the coarse-to-fine learning principles，this paper proposes an algorithm of selective multistage face recognition based on multiple eigenspaces.First，face is divided to four areas，such as the whole，the first half，nose and eyes. Then，eigenspaces and BP neural network classifier for four areas are established.Finally，based on the Maximum A Posteriori Probability（MAP），four level classifiers are selectively referred to recognize on different levels，until both of within-class threshold and between-class threshold achieve the preassigned range.It is proved by experience that this method has a high accuracy．

Key words: face recognition, selective, multi-eigenspace, BP neural network