点击次数：

论文类型：期刊论文

发表时间：2008-09-01

发表刊物：Optoelectronics Letters

收录刊物：Scopus、EI

卷号：4

期号：5

页面范围：0384-0386

ISSN号：16731905

摘要：This paper proposes a novel wavelet-based face recognition method using thermal infrared (IR) and visible-light face images. The method applies the combination of Gabor and the Fisherfaces method to the reconstructed IR and visible images derived from wavelet frequency subbands. Our objective is to search for the subbands that are insensitive to the variation in expression and in illumination. The classification performance is improved by combining the multispectal information coming from the subbands that attain individually low equal error rate. Experimental results on Notre Dame face database show that the proposed wavelet-based algorithm outperforms previous multispectral images fusion method as well as monospectral method. © 2008 Tianjin University of Technology and Springer-Verlag GmbH.