Study plans 2016-2017 - IMT4126 - 7.5 ECTS

Expected learning outcomes


  • The candidate possesses advanced knowledge in Biological and Behavioural Biometrics.
  • The candidate possesses thorough knowledge about theory and scientific methods relevant for design, development and operation of biometric access control systems.
  • The candidate is capable of applying his/her knowledge in new fields of IT-security systems.
  • The candidate is capable of updating his/her own knowledge in authentication related topics.


  • The candidate is capable of analyzing existing theories, methods and interpretations in the field of biometrics and working independently on solving theoretical and practical problems.
  • The candidate can use relevant scientific methods in independent research and development in biometrics.
  • The candidate is capable of performing critical analysis of various literature sources and applying them in structuring and formulating scientific reasoning in biometrics.
  • The candidate is capable of carrying out an independent limited research or development project in biometrics under supervision, following the applicable ethical rules.

General competence:

  • The candidate is capable of analyzing problems in biometrics.
  • The candidate is capable of applying his/her biometric knowledge and skills in new fields, in order to accomplish advanced tasks and projects.
  • The candidate can work independently and is familiar with biometric terminology (i.e. ISO/IEC 2382-37).
  • The candidate is capable of discussing professional problems, analyses and conclusions in the field of biometrics, both with specialists and with general audience.
  • The candidate is capable of contributing to innovation.
  • The candidate is capable of taking part in debates in national and international fora within the field of authentication and behavioural biometrics.


  • General overview of biometric systems
  • Design of biometric systems
  • Authentication vs. Identification
  • Performance analysis
  • Biological characteristics: Fingerprint, vein, face, iris, periocular
  • Behavioural characteristics: Keystroke dynamics, gait, signature, voice
  • Multimodal biometrics
  • Continuous biometric authentication
  • Biometric sample quality
  • Privacy and template protection
  • Presentation attacks: artefacts and possibilities for mimicking
  • Biometric standards
  • Biometric applications

Teaching Methods

Project work

Teaching Methods (additional text)

Students shall provide a research report (term paper) on a topic that is chosen by the student in coordination with the teachers. 

Form(s) of Assessment

Written exam, 3 hours

Form(s) of Assessment (additional text)

Final grade is based on two parts with the following weights:

  • Written 3 hr exam in English: 67%
  • Term paper (project) and oral presentation of the results in that paper: 33%

Both parts need to have a pass grade to pass the course.

Grading Scale

Alphabetical Scale, A(best) – F (fail)

External/internal examiner

Written exam will be graded by an internal and external examiner. Term paper and oral presentation will be graded by an internal examiner only.

Re-sit examination

Re-sit of written exam i august

Re-take of project only during course teaching in spring

Examination support

Dictionary allowed (no calculator)

Teaching Materials

Course is based on scientific articles provided to the students. Other recommended literature is, such as

  • LI , S . Z. , AND JAIN, A. K. , Eds. Handbook of Face Recognition. Springer, Heidelberg, Germany, 2011.
  • MALTONI , D. , MAIO, D. , JAIN, A. K. , AND PRABHAKAR , S . Handbook of Fingerprint Recognition. Springer, 2009.
  • WAYMAN, J . , JAIN, A. , MALTONI , D. , AND MAI O, D. , Biometric Systems. Springer, 2005.
  • JAIN, L.C. , HALICI, U. , HAYASHI, I. ; LEE, S.B., TSUTSUI, S. Intelligent Biometric Techniques in Fingerprint and Face Recognition. CRC Press, 1999.
  • TUYLS, P., SKROIC, B., KEVENAAR, T.  Security with Noisy Data. Springer, 2007

Replacement course for

IMT4621 Biometrics and IMT4722 Behavioural Biometrics