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Biometric Systems for Person Identification

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

Lecture slides

  • 24.04.2014 Introduction [pdf]
  • 08.05.2014 Background Machine Learning/Pattern recognition [pdf]
  • 15.05.2014 Fingerprint Recognition [pdf]
  • 22.05.2014 Iris Recognition [pdf]
  • 05.06.2014 Face Recognition - Part I [pdf]
  • 12.06.2014 Face Recognition - Part II [pdf]
  • 03.07.2014 Multimodal Biometrics [pdf]
  • 10.07.2014 Biometric System Attacks + Attack Prevention [pdf]