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.
- 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 (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.
Alphabetical Scale, A(best) – F (fail)
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 of written exam i august
Re-take of project only during course teaching in spring
Dictionary allowed (no calculator)
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