Course Details
Subject {L-T-P / C} : EC6615 : Biometrics { 3-0-0 / 3}
Subject Nature : Theory
Coordinator : Prof. Samit Ari
Syllabus
Introduction to Biometrics: Biometric attributes, Biometric data, System overview, Privacy and its challenges, Biometric matching basics, authentication, identification Types of Biometrics: Biometric systems based on fingerprint recognition, Iris recognition, Face identification and localization in images, Retina recognition methods, Human identification based on gait, Speech as biometric data Multimodal Systems: Advantages of multimodal system, Types of multimodal system, Combination techniques: Feature level fusion, score level fusion, decision level fusion. Performance Testing and reporting, Errors in the test set, matching issues Biometric Performance hierarchy: The statistical basis of biometric system, hypothesis testing, The False Match, False Non-Match and Equal Error Rates, ROC curves, DET curves, Identification - CMC curve, verification, Dealing with uncertainty, Systematic Errors, Sampling Errors, Confidence Interval Interpretation, Computing Confidence Intervals, Parametric Techniques, Non-parametric Bootstrapping, Statistical measures of Biometrics, Comparison of privacy factor in different biometrics technologies, Biometrics for Network Security. Applications: Iris Recognition, Fingerprint Recognition, Surveillance Systems.
Course Objectives
- To design and development of different algorithms of a biometric system.
- To analyze the data for development of personal identification in real time.
Course Outcomes
A student will learn about biometric matching basics, authentication, identification, and verification approaches for application on real time problems.
Essential Reading
- Ted Dunstone and Neil Yager, Biometric System and Data Analysis: Design, Evaluation, and data Mining, Springer
- R. M. Bolle, J. H. Connell, S. Pankanti, N. K. Ratha, and A. W. Senior, Guide to Biometrics, Springer
Supplementary Reading
- A.K. Jain, R. Bolle and S. Pankanti (Eds.), : Personal Identification in Networked society, Kluwer Academic Publishers
- John Vacca, Biometrics Technologies and verification Systems, Elsevier Inc. , 2007