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Teaching

Biometric Systems

Lecture Start:  January 12, 2017
Time: 09.15h
Building: A
Room: 146
Further information is available in Emnet

Target group: Master students and PhD students Computer Science

Preconditions:Basics in digital image and signal processing are helpful.

Further question: Prof. Dr. Christoph Busch
(Email: christoph.busch@ntnu.no)

Lecture spring term 2017 (NTNU master program course 4126)
Biometric Systems

Motivation:

Authentication of individuals based on the biological and behavioural characteristics such as the face, the iris or fingerprints is a promising research domain. Biometric algorithms allow the recognition of individuals in physical or logical access control systems and thus provide an efficient and convenient alternative to knowledge based or token based systems


Content:

In this course, several key aspects of biometrics are covered. The course begins with an overview of applied statistics and hypothesis tests as well as other common statistical tools for biometrics, and then covers selected biometric concepts, particularly fingerprint recognition, vein recognition, face recognition and iris recognition. To this end, the relevant physiological characteristics, their variability, and potential problems are discussed before analyzing different approaches for each of the attributes to be investigated. In each case, not only benign applications are covered but also potential bottlenecks such as insufficient sample quality along the entire processing chain. The use of multi-biometrics including data fusion is discussed both in the context of robustness against attacks and improving the overall accuracy of the recognition process. The course continues with a discussion of the ethical and privacy-related issues in biometrics, along with possible limitations and technical mitigation mechanisms. Special attention is given to privacy enhancing technologies that provides protection of sensitive biometric data. In this line the course concludes with comparison-on-card approaches and template protection concepts that allow revocation of biometric references.


Literature:

  • "Handbook of Face Recognition" by S. Li and A. Jain (Eds), Springer, 2005
  • "Handbook of Fingerprint Recognition" by D. Maltoni, D. Maio, A. Jain and S. Prabhakar, Springer, 2005
  • "Biometric Systems: Technology, Design and Performance Evaluation" by J. Wayman, A. Jain, D. Maltoni, D. Maio (Eds), Springer, 2004
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