Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Comparison of Spectral-Only and Spectral/Spatial Face Recognition for Personal Identity Veriﬁcation | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 943602 6 pages doi 2009 943602 Research Article Comparison of Spectral-Only and Spectral Spatial Face Recognition for Personal Identity Verification Zhihong Pan 1 Glenn Healey 2 and Bruce Tromberg3 1 Galileo Group Inc. 100 Rialto Place Suite 737 Melbourne FL 32901 USA 2Department of Electrical Engineering and Computer Science University of California Irvine CA 92697 USA 3Beckman Laser Institute 1002 East Health Sciences Road Irvine CA 92612 USA Correspondence should be addressed to Zhihong Pan zpan@ Received 29 September 2008 Revised 22 February 2009 Accepted 8 April 2009 Recommended by Kevin Bowyer Face recognition based on spatial features has been widely used for personal identity verification for security-related applications. Recently near-infrared spectral reflectance properties of local facial regions have been shown to be sufficient discriminants for accurate face recognition. In this paper we compare the performance of the spectral method with face recognition using the eigenface method on single-band images extracted from the same hyperspectral image set. We also consider methods that use multiple original and PCA-transformed bands. Lastly an innovative spectral eigenface method which uses both spatial and spectral features is proposed to improve the quality of the spectral features and to reduce the expense of the computation. The algorithms are compared using a consistent framework. Copyright 2009 Zhihong Pan et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction Automatic personal identity authentication is an important problem in security and surveillance applications where physical or logical access to locations documents and services must be .