Preprocessing for Local Bianry Pattern based Face Recognition
This paper studies the pre-processing methods on Local Binary Pattern (LBP) for face recognition.Three methods are well investigated,such as Gaussian smoothing,histogram equalization and Sobel operator.The extensive experiments on FERET database show that the best recognition rate increase isachieved by combination of histogram equalization,Gaussian smoothing,and Sobel with LBP.The conclusion achieved in the paper is useful for real face recognition system.
face recognition local binary pattern Preprocessing
Ning Xing , Lan Xian Gui
School of Information Engineering,East China Institute of Technology,Nanchang,330013,China School of Mechanical and Electronic Engineering,East China University of Technology,Nanchang,330013,
国际会议
郑州
英文
380-383
2013-10-19(万方平台首次上网日期,不代表论文的发表时间)