Biometric Recognition
The course deals with the construction and use of automated decision-making systems with focus on biometric personal recognition. Biometric person recognition means that a biometric signal is used to determine a person's identity. Some examples of biometric signals are face, iris, fingerprints, hand-geometry and voice.
Matlab, algorithms for signal and image processing, concepts within the design recognition area, concepts in biometric person identification, error and error performance for biometric systems, automatic person recognition system.
Level:
Basic level
Application code:
X3810
Entry requirements:
The courses Applied Mathematics and Statistics for Computer Forensics 15 credits and Programming 7,5 hp. English 6. Exemption of the requirement in Swedish is granted.
Selection rules:
Available for exchange students. Limited numbers of seats.
Start week:
week: 36
Instructional time:
Daytime
Language of instruction:
Teaching is in English.
