Course

Unit 1

Introduction: Benefits of biometric versus traditional techniques – Key biometric terms and processes – Verification and identification – Enrollment and template creation – Biometric matching. Accuracy in biometric systems: False match rate – False non-match rate – Failure-to-enroll rate – Derived metrics – Equal error rate – Ability-to-verify rate

Unit 2

Physiological biometrics: Finger scan – Facial scan – Iris scan – Components – Working principles – Competing technologies – Strengths and weaknesses – Automated fingerprint Identification systems. Behavioural biometrics signature scan – Keystroke scan – Components – Working principles – Strengths and weaknesses.

Unit 3

1. Samir Nanavati, Michael Thieme, Raj Nanavati, “Biometrics – Identity Verification in a Networked World”, Wiley-dreamtech India Pvt Ltd, New Delhi, 2003.

1. James Wayman, Anil Jain, David Maltoni, Dario Maio (Eds), “Biometric Systems”, Springer International Edition, 2004.
2. Anil K Jain, Patrick Flynn, Arun A Ross, “Handbook of Biometrics”, Springer, 2008.
3. John R Vacca, “Biometric Technologies and Verification Systems”, Elsevier Inc, 2007.
4. Ruud M. Bolle, SharathPankanti, Nalini K. Ratha, Andrew W.Senior, Jonathan H. Connell, “Guide to Biometrics”, Springer, 2009.