Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
S.G. Kong, J. Heo, F. Boughorbel, Y. Zheng, B.R. Abidi, A. Koschan, M.A. Abidi, Multiscale fusion of visible and thermal IR images for illumination-invariant face recognition. Int. J. Comput. Vis. 71(2), 223–253 (2007)
C. Boyce, A. Ross, M. Monaco, L. Hornak, X. Li, Multispectral iris analysis: a preliminary study, in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition Workshop on Biometrics (CVPRW), New York (IEEE, New York, 2006)
R. Rowe, K.A. Nixon, S.P. Corcoran, Multi spectral fingerprint biometrics, in Proceedings of IEEE Workshop on Information Assurance and Security (United States Military Academy, West Point, 2005), pp. 14–20
P. Buddharaju, I. Pavlidis, Multi-spectral face recognition – fusion of visual imagery with physiological information, in Face Biometrics for Personal Identification, ed. by R. Hammoud, B. Abidi, M. Abidi (Springer, Berlin, 2007), pp. 91–108
D.A. Socolinsky, L.B. Wolff, J.D. Neuheisel, C.K. Eveland, Illumination invariant face recognition using thermal infrared imagery, in Proceedings of the IEEE ICPR, CVPR, Kauai, 2001, pp. 527–534
I.A. Kakadiaris, G. Passalis, G. Toderici, Y. Lu, N. Karampatziakis, N. Murtuza, T. Theoharis, Expression-invariant multispectral face recognition: you can smile now! in Proceedings of SPIE. Biometric Technology for Human Identification III, Orlando, ed. by P.J. Flynn, S. Pankanti, vol. 6202, 2006, pp. 620 204.1–620 240.7
H. Chang, H. Harishwaran, M. Yi, A. Koschan, B. Abidi, M. Abidi, An indoor and outdoor, multimodal, multispectral and multi-illuminant database for face recognition, in Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, Biometrics Work Shop, New York, 2006
Z. Pan, Z. Healey, M. Prasad, B. Tromberg, Face recognition in hyperspectral images. IEEE Trans. Pattern Anal. Mach. Intell. 25(12), 1552–1560 (2003)
L.J. Denes, P. Metes, Y. Liu, Hyperspectral face database. Technical report CMU-RI-TR-02-25, Robotics Institute, Carnegie Mellon University, 2002
P.J. Phillips, P. Grother, R.J. Micheals, D.M. Blackburn, E. Tabassi, J.M. Bone, FRVT 2002: Evaluation Report (2003). http://www.frvt.org/FRVT2002/documents.htm
H. Chang, A. Koschan, B. Abidi, M. Abidi, Physics-based fusion of multispectral data for improved face recognition, in Proceedings of the International Conference on Pattern Recognition, Hong Kong, 2006
Pan Z., Healey G., Prasad M., Tromberg B., Multiband and spectral eigenfaces for face recognition in hyperspectral images, in Proceedings of SPIE, San Jose, vol. 5779, 2005, pp. 144–151
F.H. Imai, Preliminary experiment for spectral reflectance estimation of human iris using a digital camera, Munsell Color Science Laboratory Technical Report, 2002
J.H. Park, M.G. Kang, Iris recognition against counterfeit attack using gradient based fusion of multi-spectral images, in Advances in Biometric Person Authentication. LNCS, vol. 3781 (Springer, Berlin, 2005), pp. 1611–3349
K.A. Nixon, R.K. Rowe, Multispectral fingerprint imaging for spoof detection, in Proceedings of SPIE. Biometric Technology for Human Identification II, Orlando, ed. by A.K. Jain, N.K. Ratha, vol. 5779, 2005, pp. 214–225
N.J. Crane, E.G. Bartick, R.S. Perlman, S. Huffman, Infrared spectroscopic imaging for noninvasive detection of latent fingerprints. Forensic Sci. 52(1), 48–53 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media New York
About this entry
Cite this entry
Roui-Abidi, B., Abidi, M. (2015). Multispectral and Hyperspectral Biometrics. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_163
Download citation
DOI: https://doi.org/10.1007/978-1-4899-7488-4_163
Published:
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4899-7487-7
Online ISBN: 978-1-4899-7488-4
eBook Packages: Computer ScienceReference Module Computer Science and Engineering