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Teaching

Biometric Systems

Lecture Start:  Friday June 01, 2018
Time: 08.00h
Building: 308
Room: Auditorium 13

Target group: Master Students Computer Science

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

Further question: Prof. Dr. Christoph Busch
(Email: christoph.busch@h-da.de)

Lecture summer term 2018 (DTU master program course 02238)
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:

The lecture covers the most important mechanisms in today's commercial biometric systems: Face recognition, iris recognition and fingerprint recognition. The course covers sensors, biometric image processing, feature extraction and classification methods. Furthermore evaluation schemes for biometric systems will be discussed such as biometric performance testing and security testing. The lecture will also map data privacy principles to the biometric system design process.

Research Seminar (Research Projects):

The complementary seminar extends the content of the lecture with topics on current application areas. These topics are researched and analysed. Specific focus is given on applications that are specific for the European data privacy culture. Furthermore the seminar will discuss interoperability issues and international standardization in the field. The student research will address selected topics from current biometric research regarding 3D face recognition, biometric sample quality, multimodal biometrics and biometric template protection (e.g. FIDELITY and NFIQ2.0)

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

Preliminary Schedule:

  • 30.05.2018 material for preparation of seminar work will be provided
  • 01.06.2018 08.00h introduction
  • 01.06.2018 09.00h requirements / properties of a biometric system
  • 01.06.2018 10.00h history of biometrics
  • 01.06.2018 11.00h fingerprint recognition - part 1
  • 01.06.2018 13.00h fingerprint recognition - part 2
  • 01.06.2018 14.00h fingerprint recognition - part 3
  • 01.06.2018 15.00h biometric performance
  • 04.06.2018 work on the individual research - consultation via email
  • 05.06.2018 constitution day
  • 06.06.2018 08.00h performance metrics and reports
  • 06.06.2018 09.00h vein recognition
  • 06.06.2018 10.00h face recognition - part 1
  • 06.06.2018 11.00h face recognition - part 2
  • 06.06.2018 13.00h face recognition - part 3
  • 06.06.2018 14.00h 3D face recognition
  • 07.06.2018 08.00h ePassport
  • 07.06.2018 09.00h ePassport
  • 07.06.2018 10.00h iris recognition
  • 07.06.2018 11.00h iris recognition
  • 07.06.2018 13.00h sample quality
  • 07.06.2018 14.00h sample quality
  • 08.06.2018 15.00h multibiometrics
  • 08.06.2018 08.00h machine learning
  • 08.06.2018 09.00h data privacy
  • 08.06.2018 10.00h security presentation attacks
  • 08.06.2018 11.00h security template reconstruction
  • 08.06.2018 13.00h template protection
  • 08.06.2018 14.00h standards
  • 09.06.2018 work on the individual research - consultation via email
  • 21.06.2018 submission of the research report

Material:

Here you can find the syllabus and the teaching material for the lecture.
Syllabus
Slides and papers from 2018-06-01
Fingerprint demos from 2018-06-01
Slides and papers from 2018-06-06
Gabor wavelet demo from 2018-06-06
Slides and papers from 2018-06-07
Slides and papers from 2018-06-08

Submission of final report:

As described in section 3 of the syllabus you are expected to deliver the term paper and the data files in a zip file to Campusnet before June 21, 2018 at 23.59.

Course evaluations:

This summer term course has been delivered at DTU since 2007. You can view the course evaluations from previous years at the DTU website.

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