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Teaching

Biometric Systems

Lecture Start:  Thursday June 06, 2024
Building: 451 (TBC)
Room: 029

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 2024 (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 capture devices, 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 Projects:

The complementary term papers work extends the content of the lecture with current research topics in various application areas. Specific focus is given on applications supporting the European data privacy culture. The student research will select a topic from current biometric research regarding face recognition, fingerprint recognition, DeepLearning biometrics, biometric sample quality, multimodal biometrics and biometric template protection.

Literature:

  • will be provided

Preliminary Schedule:

  • 03.06.2024 material for preparation of term paper work will be provided.
  • 06.06.2024 08.00h Lectures start: Introduction
  • 06.06.2024 09.00h requirements / properties of a biometric system
  • 06.06.2024 10.00h history of biometrics
  • 06.06.2024 11.00h fingerprint recognition - part 1
  • 06.06.2024 13.00h fingerprint recognition - part 2
  • 06.06.2024 14.00h fingerprint recognition - part 3
  • 06.06.2024 15.00h biometric performance
  • 06.06.2024 16.00h performance metrics and reports
  • 07.06.2024 08.00h vein recognition
  • 07.06.2024 09.00h face recognition - part 1
  • 07.06.2024 10.00h face recognition - part 2
  • 07.06.2024 11.00h face recognition - part 3
  • 07.06.2024 13.00h 3D face recognition
  • 07.06.2024 14.00h ePassport
  • 07.06.2024 15.00h ePassport
  • 10.06.2024 08.00h DET tutorial
  • 10.06.2024 09.00h iris recognition
  • 10.06.2024 10.00h iris recognition
  • 10.06.2024 13.00h sample quality
  • 10.06.2024 14.00h sample quality
  • 10.06.2024 15.00h multibiometrics
  • 11.06.2024 08.00h machine learning
  • 11.06.2024 09.00h data privacy
  • 11.06.2024 10.00h security presentation attacks
  • 11.06.2024 11.00h security template reconstruction
  • 11.06.2024 13.00h template protection
  • 11.06.2024 14.00h standards
  • 12.06.2024 work on the individual research - consultation via email
  • 30.06.2024 submission of the research report

Material:

Here you can find the syllabus and the teaching material for the lecture.
Slides from 2024-06-06

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 30, 2024 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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