Inhalt

[ INMAWVOBIDE ] VL Biometric Identification

Versionsauswahl
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 2025W
Learning Outcomes
Competences
Students are able to understand, analyze, and assess personal recognition methods using physiological and behavioral traits and have expertise about multibiometric systems and measures to assure the security of biometric recognition systems.
Skills Knowledge
Students are able to (all skills on K2, K4, K5):

  • Recognize persons using hand features (finger, hand geometry, palmprints)
  • Recognize persons using face features (including the human eye)
  • Identifiy persons using DNA
  • Recognize persons using behavioral features (gait, signature, speech, keyboard dynamics)
  • Use the advantages and variants of multibiometric recognition systems
  • Know the attacks possible on biometric recognition systems and realize corresponding defense measures
  • Recognition using fingerprints
  • Recognition using face images
  • Recognition using iris patterns
  • Retina recognition
  • Recognition using hand geometry and palmprints
  • Gait recognition
  • DNA identification
  • Ear recognition
  • Recognition using infrared images
  • Signature verification
  • Speaker recognition
  • Recognition using keystroke dynamics
  • Multibiometric recognition systems
  • Security of biometric recognition 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 et.al.(2011). Introduction to Biometrics, Springer Verlag.

Changing subject? No
Further information https://www.jku.at/institut-fuer-computational-perception/lehre/alle-lehrveranstaltungen/biometrische-identifikation/
On-site course
Maximum number of participants -
Assignment procedure Direct assignment