Inhalt

[ INMAWVOBIDE ] VL (*)Biometric Identification

Versionsauswahl
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Ausbildungslevel Studienfachbereich VerantwortlicheR Semesterstunden Anbietende Uni
3 ECTS M2 - Master 2. Jahr Informatik Josef Scharinger 2 SSt Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum Masterstudium Computer Science 2021W
Ziele (*)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.
Lehrinhalte (*)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.
Beurteilungskriterien (*)Written exam at the end of the semester.
Lehrmethoden (*)Slide presentation with case studies on the blackboard
Abhaltungssprache Deutsch
Literatur (*)PDF-versions of the slides used in the lecture will be made available via KUSSS.

Recommended reading: Anil Jain et.al.(2011). Introduction to Biometrics, Springer Verlag.

Lehrinhalte wechselnd? Nein
Sonstige Informationen (*)https://www.jku.at/institut-fuer-computational-perception/lehre/alle-lehrveranstaltungen/biometrische-identifikation/
Präsenzlehrveranstaltung
Teilungsziffer -
Zuteilungsverfahren Direktzuteilung