IMT4126 - Biometrics

About

Examination arrangement

Examination arrangement: Portfolio assessment
Grade: Letters

Evaluation form Weighting Duration Examination aids Grade deviation
Assignment 33/100
Written examination 67/100 3 hours E

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

  • Coursework Requirement

Further on evaluation

Re-sit:

-Re-sit of written exam i august

-Re-take of project only during course teaching in spring

 

Forms of assessment:

The overall grade is based on a grade for a final, written exam (3 hrs) as well as a grade for the term paper.The final, written exam will count for 67% while the term paper will count for 33% of the final grade. Both parts will be graded on a 0-100 scale and must be passed with at least 40 out of 100 points in order to pass the course. The final grade is the weighted average of the part scores and the 0-100 scale score of the final grade will be converted to the A-F scale according to recommended conversion table. In specific circumstances, can the course responsible slightly adjust the limits in the conversion table to enforce compatibility with the qualitative descriptions on the A-F scale.

Specific conditions

Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.

Admission to a programme of study is required:
Information Security (MIS)

Course 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

Credit reductions

Course code Reduction From To
IMT4621 5.0 2017-09-01
IMT4722 2.5 2017-09-01

Timetable

Detailed timetable

Examination

Examination arrangement: Portfolio assessment

Term Statuskode Evaluation form Weighting Examination aids Date Time Room *
Spring ORD Assignment 33/100
Spring ORD Written examination 67/100 E 2018-06-04 09:00
  • * The location (room) for a written examination is published 3 days before examination date.
If more than one room is listed, you will find your room at Studentweb.