Examination arrangement

Course content

-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

Learning outcome

Knowledge: -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.

Skills: -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.

Learning methods and activities

-Lectures -Project work -Tutoring Additional information: -Students shall provide a research report (term paper) on a topic that is chosen by the student in coordination with the teachers.

Coursework requirement: 10 of 13 assignments must be approved

Compulsory assignments

• Oblig

Further on evaluation

The students will select a project (term paper) topic at the start of the course and at the end of the course they will deliver a report and present the content in a short presentation. There will be a preliminary submission of the report and each of these submissions will be reviewed by 2 other students and one senior research group member.

Based on the comments in the reviews the students should delivery their final report. Students are required to join all the presentations on the day they present their own project! The course is graded based on

1. The quality of the final report;
2. The quality of the reviews provided on other preliminary reports;
3. The quality of the presentation;
4. The involvement during other presentations.

During the semester the students will be get weekly exercises of which at least 10 have to be passed as a mandatory part of the course.

There will be no re-sit exam in summer (August). Students who have passed the mandatory part of the course do not need to do this again in case they retake the course.

Specific conditions

Course materials

Course is based on scientific articles provided to the students. Other recommended (but not mandatory) literature is

• 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

Credit reductions