Biometric Person Authentication (8020.2)

Availability

Syllabus

Principles of biometric authentication; physical biometrics, fingerprints, iris, retina, hand geometry, facial characteristics; behavioural biometrics, speech, writing, typing, pointing; statistical models, Bayesian analysis, prior and posterior probabilities, likelihood ratio; identification and verification paradigms, type-1 and type-2 errors, detection error tradeoff (DET) curves; role of the independent expert.

Learning Outcomes

DESCRIPTION:

1.On successful completion of this unit students will be able to show an understanding of different methods for physical and behavioural biometric person authentication; an understanding of the statistical models underlying the identification and verification paradigms; an understanding of the Bayesian decision framework, including error categories, prior and posterior probabilities; and an understanding of the role of the independent expert. In terms of generic skills, students will be able to: identify problems and analyse the main features of problems relevant to their professional field; apply appropriate problem solving processes, arguments, critical and creative thinking; implement and evaluate strategies for the resolution of problems; anticipate and define new problems; and identify and resolve new problems in new fields.

Contact Hours

up to 3 hours per week, 2L + 1T

Prerequisites

Discrete Mathematics or Engineering Mathematics 1 or Engineering Mathematics 2 and Software Technology 1.