期刊名称：International Journal of Computer Science and Communication Networks
电子版ISSN：2249-5789
出版年度：2012
卷号：2
期号：5
页码：584-589
出版社：Technopark Publications
摘要：Face detection and recognition is challenging due to the Wide variety of faces and the complexity of noises and image backgrounds. In this paper, we propose a neural network based novel method for face recognition in cluttered and noisy images. We use a Modified radial basis function network (RBFN) to distinguish between face patterns and non face patterns. The complexity RBFN is reduced by RobustPCA as it gives good results even in different illumination environments and highly un-susceptible to occlusion when compared with Classical PCA (Principal component analysis). RobustPCA is applied on Images to get the eigen-vectors. These eigen-vectors are given as input to RBFN network as the inputs for training and recognition. The proposed method has good performance good recognition rate
关键词：RobustPCA; Neural networks; Radial basis function network; Face recognition; Eigen vectors; PCA
