Tutorials
The role of the tutorials is to provide a platform for a more intensive scientific exchange amongst researchers interested in a particular topic and as a meeting point for the community. Tutorials complement the depth-oriented technical sessions by providing participants with broad overviews of emerging fields. A tutorial can be scheduled for 1.5 or 3 hours.
Tutorial on
An Introduction to Biometrics
Instructor
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Rangachar Kasturi
University of South Florida
United States
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Brief Bio
Dr. Kasturi is the Douglas W. Hood Professor Emeritus of Computer Science and Engineering at the University of South Florida. He received his Ph.D. degree from Texas Tech University in 1982. He was a Professor of Computer Science and Engineering and Electrical Engineering at the Pennsylvania State University during 1982-2003. Dr. Kasturi served as the President of the International Association for Pattern Recognition (IAPR) during 2002-04 and as the President of the IEEE Computer Society during 2008. He is a Fellow of the IEEE and a Fellow of IAPR. Through the Fulbright Specialist Program (2017-20) Dr. Kasturi is available to share his expertise with students and researchers at international institutions.
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Abstract
“Biometric recognition, or simply biometrics, is the science of establishing the identity of a person based on physical or behavioral attributes. It is a rapidly evolving field with applications ranging from securely accessing one’s computer to gaining entry into a country...” Based on the book by Anil Jain, Arun Ross and Karthik Nandakumar, Introduction to Biometrics, Springer, 2011, ISBN 978-0-387-77325-4
Keywords
Fingerprint, Face, and Iris Recognition
Aims and Learning Objectives
Learn the principles and applications of
Biometric modalities such as fingerprint, face, and iris; a few other modalities such as ear and gait are also briefly introduced.
Target Audience
Students and researchers interested in understanding the methods and applications of Biometrics.
Prerequisite Knowledge of Audience
Fundamentals of image analysis and statistical pattern recognition methods.
Detailed Outline
Introduction to Biometric modalities such as Fingerprint, face, iris, ear, gait, etc. Discussion of underlying principles and methodologies during Enrollment and Recognition phases:
Enrollment phase: Acquire data and process to extract salient and distinctive features
Recognition phase: Reacquire data and compare against stored data to determine identity