05-Biometrics-Lecture5-Part1-2008-10-20

05-Biometrics-Lecture5-Part1-2008-10-20 - 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 Fingerprint Recognition Generalities Applications Fingerprints and their images History of fingerprints Fingerprint sensing Fingerprint features Fingerprint matching Fingerprint enhancement Performance evaluation Synthetic fingerprint generation
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4 Identifiable biometric characteristics Biological traces DNA (DeoxyriboNucleic Acid), blood, saliva,etc. Biological (physiological) characteristics fingerprints , eye irises and retinas, hand palms and geometry, and facial geometry Behavioral characteristics dynamic signature, gait, keystroke dynamics, lip motion Com bined voice
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5 Statistical Modelling – How exceptional is speech? Fingerprint Voice Signature Face Iris Hand
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6 Comparison of biometric techniques ACCURACY COST Fingerprint Vo ice / Speech Signature Fa ce Hand Iris
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References D. Maltoni, D. Maio, A.K. Jain, S. Prabhakar, “ Handbook of Fingerprint Recognition ”, Springer-Verlag, New York, 2003. L. O’Gorman, “ Fingerprint Verification ”, chapter 2 in A. Jain, R. Bolle, S. Pankanti, “Biometrics: Personal Identification in Networked Society”, Kluwer Academic Publishers, Norwell, 1999. C. Champod, C. J. Lennard, P. A.
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This note was uploaded on 06/25/2009 for the course MATH MAT 400 taught by Professor Jamespotvein during the Fall '08 term at University of Toronto- Toronto.

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05-Biometrics-Lecture5-Part1-2008-10-20 - Master SC...

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