Multi-feature Fusion Face Recognition Based on Kernel Discriminate Local Preserve Projection Algorithm under Smart Environment

In this paper, a new face recognition method based on kernel discriminate local preserve projection(KDLPP) and Multi-feature fusion under smart environment is proposed . In order to solve the small sample size problem, combined with kernel theory and QR decomposition, a new face recognition algorithm named kernel discriminate local preserve projection is proposed based on discriminate local preserve projection algorithm. considered the external features are useful in face recognition, because hair is a highly variable feature of human face ,so we combined hair features and DCT features on the feature layer. The experiments on the AMI database indicate the proposed method can enhance the accuracy of the recognition system effectively.