Name of Module: Biometric Identification Credit Points (ECTS):3

Name of Module:
Biometric Identification
Person Responsible for Module: Secretariat:
Möller
TEL-18
Credit Points
Short Name:
(ECTS):3
MINF-KS-BioId.W12
e-mail address:
[email protected]
Module Description
1. Qualification Aims
 Expertise to assess existing and future approaches to identify and verify users
 Knowledge of current technical approaches to classify biometrical features
 Ability to do critical (online) literature research
 Presentation skills
The course is principally designed to impart
technical skills 40% method skills 40 % system skills 10% social skills 10%
2. Content
SE Biometric Identification and Verification
This seminar deals with current methods of person identification using biometric measures. Topics include:
Foundations of feature extraction and classification, identification and verification; speaker
recognition/identification; face recognition/identification; activity-based verification; finger-print verification;
'exotic' verification
3. Module Components
Course Name
Biometric Identification and Verification
Course
type
Weekly
hours per
semester
SE
2
Compulsory(C) /
CPs (acc. to
Semester
Compulsory Elective
ECTS)
(WiSe / SoSe)
(CE)
3
CE
SoSe
4. Description of Teaching and Learning Methods
Lectures with in-class presentations held by participants
5. Prerequisites for Participation
SE Biometric Identification and Verification
Desirable: Basic signal processing skills and/or usability engineering knowledge
6. Target Group of Module
 Master Computer Science (“Informatik“): Specialized studies Communication- based systems”
 Master Computer Engineering (“Technische Informatik”): Specialized studies “Technische Anwendungen”
 Master Computer Engineering (StO/PO 2012):
- Studienschwerpunkt Digitale Medien (Digital Media; Elektrotechnik oder Technische Informatik)
- Studienschwerpunkt Mensch-Maschine-Interaktion (Human-Computer Interaction and Design;
Technische Informatik)
- Studienschwerpunkt Kognitive Systeme (Kognitive Systems and Robotics; Informatik)
 Master Electrical Engineering (“Elektrotechnik”): Specialized studies „Ergänzungmodule”
 Master Industrial Engineering (Specialisation „IuK Systeme)
7. Work Requirements and Credit Points
Seminars
Calculation Factor
Hours
Presence lecture
15*2
30
Post-processing / computer exercise
15*1
15
Preparation of oral presentation
2*20
40
Preparation of written version
1*10
10
Sum
8. Module Examination and Grading Procedures
Grading procedure: PS
presence lectures (20 %) + oral presentation (40%) + written version (20%) + homework (20%)
= 100 %
9. Duration of Module
The module can be completed in one semester.
10. Number of Participants
30
11. Enrolment Procedures
No prior registration required.
12. Recommended Reading, Lecture Notes
Lecture notes available in paper form?
Lecture notes available in electronic form?
yes
yes
no X
no X
Recommended Reading:
 Duda, R.O., Hart, P.E., Stork, D.G. (2002). Pattern Classification. Wiley.
13. Other Information
German name of the module “Biometrische Identifikation und Verifikation”
The language of this module is English.
The topics of the module can serve as a foundation of a diploma or master thesis in the area.
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