Biometric Systems for Person Identification

  • Type: Vorlesung (V)
  • Semester: SS 2014
  • Time: 17.04.2014
    14:00 - 15:30 wöchentlich
    50.34 Raum -107 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten


    24.04.2014
    14:00 - 15:30 wöchentlich
    50.34 Raum -107 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

    08.05.2014
    14:00 - 15:30 wöchentlich
    50.34 Raum -107 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

    15.05.2014
    14:00 - 15:30 wöchentlich
    50.34 Raum -107 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

    22.05.2014
    14:00 - 15:30 wöchentlich
    50.34 Raum -107 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

    05.06.2014
    14:00 - 15:30 wöchentlich
    50.34 Raum -107 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

    12.06.2014
    14:00 - 15:30 wöchentlich
    50.34 Raum -107 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

    26.06.2014
    14:00 - 15:30 wöchentlich
    50.34 Raum -107 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

    03.07.2014
    14:00 - 15:30 wöchentlich
    50.34 Raum -107 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

    10.07.2014
    14:00 - 15:30 wöchentlich
    50.34 Raum -107 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

    17.07.2014
    14:00 - 15:30 wöchentlich
    50.34 Raum -107 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten
  • Lecturer: Dr.-Ing. Muhammad Saquib Sarfraz
  • SWS: 2
  • ECTS: 3
  • Lv-No.: 2403011
Vortragsspracheunbekannt
Voraussetzungen Basic knowledge of pattern recognition, as taught in the module Cognitive Systems [IN3INKS /IN4INKS], is expected.
Description Biometrics deals with the science of recognizing and identifying humans based on their biometrics traits, such as finger prints, face, iris, gait etc. With the increasing demands put on security and surveillance e.g. safer access control, border control/passports and identifying criminals /law enforcement, biometrics becomes more and more essential and technologies are being developed to solve many issues in this demanding area of research. In this course, the students will learn the fundamental concepts of underlying biometrics technologies, understanding of various techniques for different topics/technologies used in biometrics.

The topics include
- Introduction: Biometrics acquisitions and image processing, basic introduction to the area of computer vision/machine learning applied to biometrics
- Biometrics system: requirements, enrollment, identification/verification, performance metrics
- Biometrics technologies: Overview of different biometrics technologies
- Finger print recognition: image enhancement, state-of-the art techniques, challenges
- Iris recognition: image acquisitions, feature extraction, state-of-the-art techniques, challenges
- Face recognition: introduction, current methods, applications
- Palm print recognition: current methods
- Gait recognition: emerging methods
- Multi-Biometrics: multiple modes of biometrics, fusion strategies
- Risk analysis: attacks, liveness detection, fraud preventio
Bibliography -Tutorials and related scientific papers will be put on the web

-Online material on the topics discussed in the lectures

Content of teaching The student will acquire the basic theoretical and practical understanding of various technologies used in biometrics, the state-of-the-art algorithms used and their analysis. Student will be able to take advance courses in the field of computer vision/pattern recognition on the completion of this course.
Aim