BIOM 426
Introduction to Biometrics Systems
Instructor:
Natalia A. Schmid
Fall 2005
Course
Syllabus
Announcements:
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The
presentations on Iris segmentation and recognition are scheduled on December 6
and 8, 2005.
Projects:
Lecture
Notes:
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Introduction (lecture notes from
August 25)
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Fingerprint Identification (lecture
notes from August 30)
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Elements of Image Processing (lecture
notes from September 6)
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Hand Geometry (lecture notes from September
22)
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Performance Evaluation (lecture notes from
October 4)
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Face Recognition (lecture notes from October 11)
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Iris Recognition
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IRID (lecture notes from November 1)
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Multimodal Biometrics (lecture notes from November
3)
Recommended Books and Papers:
General:
1.
A. K. Jain, R. Bolle, and Sh. Pankanti Edts.,
BIOMETRICS: Personal Identification in
Networked Society, Kluwer Acad. Publishers,
Boston, 1999.
2.
IEEE Computer Magazine, February 2000.
3.
Proceedings of the IEEE, vol. 85, no. 9, 1997.
4.
R. M. Bolle, et al., Guide
to Biometrics, Springer, New York, 2004, pp. 45-47.
Fingerprint:
5.
D. Maltoni, D. Maio, A. K. Jain, and S. Prabhakar,
Handbook of Fingerprint Recognition,
Springer, New York, 2003.
6.
G. T. Candela and R. Chellappa.
“Comparative Performance of Classification Methods for
Fingerprints,” Technical Report NISTIR
5163 [2,412K], April
1993.
7.
C. L. Wilson, G. T. Candela, C. I. Watson. “Neural
Network Fingerprint Classification,” [3,760K] in Journal for Artificial Neural Networks, 1(2),
203-228, 1994.
Handgeometry:
8.
Hand:
give me five by D. Sidlauskas in
“Vital signs of identity,” IEEE
Spectrum, February 1994, pp. 24 – 25.
9.
D. P. Sidlauskas,
“3D hand profile identification apparatus,” US Patent No. 4736203, 1988.
10.
A. K. Jain, A. Ross, and Sh.
Pankanti, “A Prototype Hand Geometry-based
Verification System,” Proc. of 2nd Int’l Conf. on Audio- and
Video-based Biometric Person Authentication, Washington D.C., pp. 166-171, March 22-24, 1999 [pdf-copy]
11.
A. L. N. Wong and P. Shi,
“Peg-Free Hand Geometry Recognition Using Hierarchical Geometry and Shape
Matching,” IAPR Workshop on Machine Vision
Applications, Nara, Japan,
December, 2002, pp. 281-284 [pdf-copy]
Performance
Evaluation:
14.
A.J. Mansfield, J.L. Wyman, “Best Practices in
Testing and Reporting Performance of Biometric Devices,” Version 2.1, NPL
Report CMSC 14/02, August 2002 [BestPractice02.pdf]
15.
P.J. Phillips, A. Martin, C.L. Wilson, and M. Przybocki, “An Introduction to Evaluating Biometric
Systems,” IEEE Computer Magazine,
February 2000, pp. 56 – 63.
16.
N.A. Schmid and J.A O’Sullivan,
“Performance Prediction Methodology for Biometric Systems Using a
Large-Deviations Approach,” accepted for publication, IEEE Trans. on Signal Processing, Nov.
2004.
Face:
17.
J. Zhang, Y. Yan, and M.
Lades, “Face Recognition: Eigenface, Elastic
Matching, and Neural Nets,” Proceeding
of the IEEE, vol. 85, no. 9, pp. 1423 – 1435, 1997.
18.
W. Zhao and P. J. Phillips, “Face Recognition:
A Literature Survey,” NIST Techn. Report, 2000 [review00face.pdf].
19.
P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman,
“Eigenfaces vs. Fisherfaces:
Recognition Using Class Specific Linear
Projection,” IEEE Trans. on
Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 711 –
720, 1997.
20.
M Kirby and L. Sirovich, “Application of Karhunen-Loeve
Procedure for the Characterization of Human Face,” vol. 12, no. 1, pp.
103 – 108, 1990 [kirby90.pdf].
Iris:
21.
J. Daugman’s web
site [URL]
22.
J. Daugman, “High
Confidence Visual Recognition of Persons by a Test of Statistical
Independence,” IEEE Trans. on
Pattern Analysis and Machine Intelligence, vol. 15, no. 11, pp. 1148
– 1161, 1993.
23.
J. Daugman, United States Patent No. 5,291,560
(issued on March 1994). Biometric Personal Identification System
Based on Iris Analysis, Washington DC: U.S. Government Printing Office,
1994.
24.
R. P. Wildes, “Iris
Recognition: An Emerging Biometric Technology,” Proceedings of the IEEE, vol. 85, no. 9, Sept. 1997, pp. 1348
– 1363.
Miltimodal Biometrics:
25.
R. Brunelli and D. Falavigna, “Person Identification Using Multiple
Cues,” IEEE Trans. on Pattern
Analysis and Machine Intelligence, vol. 17, no. 10, pp. 955 – 966,
Oct. 1995.
26.
A. Ross,
A.K. Jain, and J.-Zh. Qian,
“Information Fusion in Biometrics,” Proc. of the 3rd Intern. Conf. on Audio- and
Video-Based Person Authentication, pp. 354 – 359, Sweden, June 6 –
8, 2001.
27.
M. Indovina, U. Uludag, R. Snelick, A. Mink, and
A Jain, “Multimodal Biometric Authentication Methods: A COTS
Approach,” Biometrics Workshop in Santa-Barbara, 2003.
Retina:
28.
R. B. Hill, United
States Patent No. 4,393,366 (issued on July 12, 1983). Rotating Beam Ocular Identification Apparatus and Method,
Washington DC: U.S. Government Printing Office, 1983.
Infrared
Identification:
29.
F. J. Prokoski, United States Patent No. 6,496,594 B1
(issued on December 17, 2002). Method and
Apparatus for Aligning and Comparing Images of the Face and Body from Different
Imagers, Washington DC: U.S.
Government Printing Office, 2002.
30.
D. A. Sokolinsky, L. B.
Wolff, J. D. Neuheisel, and Ch. K. Eveland, “Illumination Invariant Face Recognition
Using Thermal Infrared Imagery,” Computer Vision and Pattern Recognition, 2001. CVPR 2001.
Proceedings of the 2001 IEEE Computer Society Conference on, vol. 1,
pp. 527 – 534, 2001.
31.
R. Cuttler, “Face
Recognition Using Infrared Images and Eigenfaces,”
[URL]
Databases:
Fingerprint:
·
University of Bologna [database]
·
Synthetic FINgerprint GEnerator [Sfinger]
Hand Geometry:
·
University of Bologna [database]
Face:
·
Yale database
·
MIT database
Iris Images:
Useful Links:
·
Dynamic Programming [URL]
·
Biometric References [link]
This file is maintained by Natalia A. Schmid.
Respond to her via natalias@csee.wvu.edu
