[ INMAWVOBIDE ] VL Biometric Identification

Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year Computer Science Josef Scharinger 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Computer Science 2022W
Objectives Students shall be introduced to the diversity of modern biometric identification. They should become acquainted with the various physiological and behavioral traits usable for biometric identification and should understand their processing as well as associated pros and cons.
Subject Architecure and assessment of biometric identification systems; the whole diversity of modern biometric traits (fingerprint, face, iris, retina, hand geometry, palmprints, DNA, infrared-images, gait, signature, voice); multibiometrics, security of biometric identification systems.
Criteria for evaluation Written exam at the end of the semester.
Methods Slide presentation with case studies on the blackboard
Language German
Study material PDF-versions of the slides used in the lecture will be made available via KUSSS.

Recommended reading: Anil Jain Introduction to Biometrics, Springer Verlag.

Changing subject? No
Further information
On-site course
Maximum number of participants -
Assignment procedure Direct assignment