Title:

Biometric Systems

Code:BIO
Ac.Year:2010/2011
Term:Winter
Curriculums:
ProgrammeFieldYearDuty
IT-MSC-2MBI1stCompulsory
IT-MSC-2MBS2ndCompulsory
IT-MSC-2MGM-Elective
IT-MSC-2MGM.-Elective
IT-MSC-2MIN-Compulsory-Elective - group I
IT-MSC-2MIN.2ndElective
IT-MSC-2MIS-Elective
IT-MSC-2MIS.-Elective
IT-MSC-2MMI-Elective
IT-MSC-2MMM-Elective
IT-MSC-2MPS-Elective
IT-MSC-2MPV-Elective
IT-MSC-2MSK-Elective
Language of Instruction:Czech, English
Private info:http://www.fit.vutbr.cz/study/courses/BIO/private/
Credits:5
Completion:credit+exam (written)
Type of
instruction:
Hour/semLecturesSeminar
Exercises
Laboratory
Exercises
Computer
Exercises
Other
Hours:390607
 ExamsTestsExercisesLaboratoriesOther
Points:551512018
Guarantor:Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS)
Lecturer:Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS)
Instructor:Dluhoš Ondřej, Ing. (DITS)
Doležel Michal, Ing. (DITS)
Dvořák Radim, Ing. (DITS)
Lodrová Dana, Ing. (DITS)
Váňa Jan, Ing. (DITS)
Faculty:Faculty of Information Technology BUT
Department:Department of Intelligent Systems FIT BUT
 
Learning objectives:
  To learn the actual biometric technologies (fingerprint, retina, iris, DNA etc.) and their application in the IT and in the security systems. To learn methods for evaluation of the reliability and quality of the biometric systems.
Description:
  Theory of the signal processing, especially image and sound signal processing, for the purposes of the biometry. Introduction of the basic methods and techniques of the static single biometric features: fingerprint, hand geometry, face and its thermogram, iris, retina, voice, handwriting. Recognition using the dynamic features: lip movements, typing or gait. Standards in the biometry. Applications of the biometry.
Knowledge and skills required for the course:
  
  • Student should be familiar with the basics of the 1- and 2-dimensional signal processing.
  • Valid schooling of Edict No. 50 (work with electrical devices) is needed.
Learning outcomes and competences:
  Theory of the signal processing, functionality of different biometric technologies and of their importance in the IT security, inclusive systems for the police purposes. Knowledge of the methods of the biometric systems evaluation.
Syllabus of lectures:
 
  1. Introduction to the biometric systems
  2. Theory of the sound and image signal processing
  3. Evaluation of the reliability and quality of the biometric systems
  4. Fingerprint recognition
  5. Hand geometry, veins and nail recognition
  6. Face and face thermogram recognition
  7. Iris and retina recognition
  8. Voice recognition
  9. Handwriting and signature recognition
  10. Dynamic biometrical characteristics
  11. DNA and its application in the biometry
  12. Biometrical standards
  13. Biometric systems of the future
Syllabus of laboratory exercises:
 
  1. Fingerprint recognition, work with the thermocamera
  2. Voice recognition
  3. Practical illustration of industrial biometrical systems
Syllabus - others, projects and individual work of students:
 Exact specification will be published within the semester. It will be possible to choose from the following categories:
  • Fingerprint recognition
  • Hand geometry, veins and nail recognition
  • Face and face thermogram recognition
  • Iris and retina recognition
  • Voice recognition
  • Handwriting and signature recognition
  • Dynamic biometrical characteristics
  • DNA and its application in the biometry
  • Biometrical standards
Fundamental literature:
 
  • Ashbourn, J.: Practical Biometrics - From Aspiration to Implementation, Springer Verlag, 2004, ISBN 1-85233-774-5
  • Bhanu, B., Tan, X.: Computational Algorithms for Fingerprint Recognition, Kluwer Academic Publishers, USA, 2004, ISBN 1-4020-7651-7
  • Bolle, R.M., Connell, J.H., Pankanti, S., Ratha, N.K., Senior, A.W.: Guide to Biometrics, Springer Verlag, 2004, ISBN 0-387-40089-3
  • Chirillo, J., Blaul, S.: Implementing Biometric Security, Wiley Publishing, 2003, ISBN 0-7645-2502-6
  • Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of Fingerprint Recognition, Springer, New York, 2003, ISBN 0-387-95431-7
  • Nanavati, S., Thieme, M., Nanavati, R.: Biometrics - Identity Verification in a Networked World, Wiley Publishing, 2002, ISBN 0-471-09945-7
  • Woodward, J.D., Orlans, N.M., Higgins, P.T.: Biometrics - Identity Assurance in the Information Age, McGraw-Hill Osborne Media, 2002, ISBN 007-222227-1
Study literature:
 
  • Ashbourn, J.: Practical Biometrics - From Aspiration to Implementation, Springer Verlag, 2004, ISBN 1-85233-774-5
  • Bolle, R.M., Connell, J.H., Pankanti, S., Ratha, N.K., Senior, A.W.: Guide to Biometrics, Springer Verlag, 2004, ISBN 0-387-40089-3
  • Nanavati, S., Thieme, M., Nanavati, R.: Biometrics - Identity Verification in a Networked World, Wiley Publishing, 2002, ISBN 0-471-09945-7
Controlled instruction:
  Mid-term exam, presence in the labaratory practice, projects and final exam are monitored and given points for. There is no way to obtain the points for the mid-term exam, project after the deadline and laboratory practice additionally. Final exam has two additional correction possibilities.
Progress assessment:
  
  1. Mid-term written test.
  2. Attending of the laboratory seminars.
  3. Project.
Exam prerequisites:
  Student must gain at least 15 points during the term.
 

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