08-Biometrics-Lecture-8-Part1-2008-11-10

08-Biometrics-Lecture-8-Part1-2008-11-10 - Master SC...

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1 Biometrics http://scgwww.epfl.ch/courses Master SC – Information and Communication Security Dr. Andrzej Drygajlo Speech Processing and Biometrics Group Signal Processing Institute Ecole Polytechnique Fédérale de Lausanne (EPFL) Center for Interdisciplinary Studies in Information Security (ISIS)
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2 Speaker Recognition Dynamic Signature Fingerprints Iris Face Hand Others Multimodal Biometrics Leading Biometric Technology
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3 Biometrics - Contents Fundamentals of Biometrics Identity and Biometrics Individuality of Biometric Data Recognition, Verification, Identification and Authentication Analysis, Modeling and Interpretation of Biometric Data Mathematical Tools Sensing and Storage Representation and Feature Extraction Enrollment and Template Creation Biometric System Errors Evaluation of Biometric Systems
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4 Face Recognition Generalities Imaging Challenges Face detection Face recognition Advantages and disadvantages
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5 Identifiable biometric characteristics Biological traces DNA (DeoxyriboNucleic Acid), blood, saliva,etc. Biological (physiological) characteristics fingerprints, eye irises and retinas, hand palms, veins and geometry, and facial geometry Behavioral characteristics dynamic signature, gait, keystroke dynamics, lip motion Com bined voice
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6 Popular biometric characteristics (modalities) Fingerprint Voice Signature Face Iris Hand
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7 Comparison of biometric techniques ACCURACY COST Fingerprint Vo ice / Speech Signature Fa ce Hand Iris Randomnes and complexity are the keys to uniqueness
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8 References A. Jain, S. Li, (Eds) “ Handbook of Face Recognition ”, Springer Verlag, New York, Dec. 2004. P. Sinha, et al. “Face Recognition by Humans : Nineteen Results All Computer Vision Researchers Should Know About ”, Proc. of the IEEE, vol. 94, Nov. 2006, pp. 1948-1962. S.Y. Kung, M.W. Mak, S.H. Lin, “ Biometric Authentication: A Machine Learning Approach”, Prentice Hall PTR, Upper Saddle River, NJ, 2004 J.J. Weng, D.L. Swets, “ Face Recognition ”, chapter 3 in A. Jain, R. Bolle, S. Pankanti, “ Biometrics: Personal Identification in Networked Society ”, Kluwer Academic Publishers, Norwell, 1999
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Notes V. Blanz, T. Vetter, “ Face Recognition based on fitting a 3D morphable model ”, IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 9, Sept. 2003, pp. 1063-1074. M. Savvides, J. Heo, S. W. Park, “ Face Recognition ”, Chapter 3 in A. Jain, P. Flynn, A. Ross, “Handbook of Biometrics”, Springer, New York, 2008, pp. 43-70. http://scgwww.epfl.ch/courses/notes/
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08-Biometrics-Lecture-8-Part1-2008-11-10 - Master SC...

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