| Detailinformationen |
| Quellcurriculum |
Masterstudium Computer Science 2022W |
| 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.
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| 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.
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| Beurteilungskriterien |
(*)Written exam at the end of the semester.
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| Lehrmethoden |
(*)Slide presentation with case studies on the blackboard
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| 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.
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| Lehrinhalte wechselnd? |
Nein |
| Sonstige Informationen |
(*)https://www.jku.at/institut-fuer-computational-perception/lehre/alle-lehrveranstaltungen/biometrische-identifikation/
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