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Teaching

Biometric Systems

Lecture Start:  Tuesday June 07, 2022
Building: 308 TBC
Room: 013 TBC

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 2022 (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:

  • 02.06.2022 material for preparation of term paper work will be provided. Self-study (Thursday and Friday) of syllabus and the material.
  • 07.06.2022 08.00h Lectures start: Introduction
  • 07.06.2022 09.00h requirements / properties of a biometric system
  • 07.06.2022 10.00h history of biometrics
  • 07.06.2022 11.00h fingerprint recognition - part 1
  • 07.06.2022 13.00h fingerprint recognition - part 2
  • 07.06.2022 14.00h fingerprint recognition - part 3
  • 07.06.2022 15.00h biometric performance
  • 07.06.2022 16.00h performance metrics and reports
  • 08.06.2022 08.00h vein recognition
  • 08.06.2022 09.00h face recognition - part 1
  • 08.06.2022 10.00h face recognition - part 2
  • 08.06.2022 11.00h face recognition - part 3
  • 08.06.2022 13.00h 3D face recognition
  • 08.06.2022 14.00h ePassport
  • 08.06.2022 15.00h ePassport
  • 09.06.2022 08.00h DET tutorial
  • 09.06.2022 09.00h iris recognition
  • 09.06.2022 10.00h iris recognition
  • 09.06.2022 11.00h sample quality
  • 09.06.2022 12.00h sample quality
  • 09.06.2022 14.00h multibiometrics
  • 09.06.2022 15.00h machine learning
  • 09.06.2022 16.00h data privacy
  • 10.06.2022 08.00h security presentation attacks
  • 10.06.2022 09.00h security template reconstruction
  • 10.06.2022 10.00h template protection
  • 10.06.2022 11.00h standards
  • 11.06.2022 work on the individual research - consultation via email
  • 27.06.2022 submission of the research report

Material:

Here you can find the syllabus and the teaching material for the lecture.
Matlab demos from 2022-06-07
Recording from 2022-06-07
Syllabus

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 27, 2022 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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